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ORCIDMehryar Mohri
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- affiliation: New York University, Courant Institute of Mathematical Sciences, USA
- affiliation: Google Research
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2020 – today
- 2026
[i118]Mehryar Mohri:
Rational Transductors. CoRR abs/2602.07599 (2026)- [i117]Ruichen Jiang, Zakaria Mhammedi, Mehryar Mohri, Aryan Mokhtari:
Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization. CoRR abs/2602.08232 (2026) - [i116]Jacob L. Block, Mehryar Mohri, Aryan Mokhtari, Sanjay Shakkottai:
Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance. CoRR abs/2602.10217 (2026) - [i115]Corinna Cortes, Mehryar Mohri, Yutao Zhong:
A Theoretical Framework for Modular Learning of Robust Generative Models. CoRR abs/2602.17554 (2026) - [i114]Teodor Vanislavov Marinov, Mehryar Mohri, Princewill Okoroafor, Jon Schneider, Julian Zimmert:
Efficient Opportunistic Approachability. CoRR abs/2602.21328 (2026) - [i113]Mehryar Mohri, Clayton Sanford, Jon Schneider, Kiran Vodrahalli, Yifan Wu:
Next-Token Prediction and Regret Minimization. CoRR abs/2603.28499 (2026) - [i112]Mehryar Mohri, Jon Schneider, Yifan Wu:
Distributional Alignment Games for Answer-Level Fine-Tuning. CoRR abs/2604.27166 (2026) - [i111]Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong:
Optimized Deferral for Imbalanced Settings. CoRR abs/2604.27723 (2026) - [i110]Mehryar Mohri, Yutao Zhong:
Mind the Gap: Structure-Aware Consistency in Preference Learning. CoRR abs/2604.27733 (2026) - [i109]Mehryar Mohri, Yutao Zhong:
Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction. CoRR abs/2604.27742 (2026) - [i108]Mehryar Mohri, Jon Schneider, Yutao Zhong:
Generalized Distributional Alignment Games for Unbiased Answer-Level Fine-Tuning. CoRR abs/2605.02435 (2026) - [i107]Mehryar Mohri, Yutao Zhong:
Principled Algorithms for Optimizing Generalized Metrics in Multi-Label Learning. CoRR abs/2605.28767 (2026) - [i106]Christoph Dann, Yishay Mansour, Mehryar Mohri:
Theoretical Foundations and Effective Algorithms for Policy-Aware Simulator Learning. CoRR abs/2605.29032 (2026) - 2025
- [c193]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Enhanced H-Consistency Bounds. ALT 2025: 772-813 - [c192]Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan:
Rate-Preserving Reductions for Blackwell Approachability. COLT 2025: 1380-1414 - [c191]Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong:
Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data. ICML 2025 - [c190]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Mastering Multiple-Expert Routing: Realizable H-Consistency and Strong Guarantees for Learning to Defer. ICML 2025 - [c189]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Principled Algorithms for Optimizing Generalized Metrics in Binary Classification. ICML 2025 - [c188]Corinna Cortes, Mehryar Mohri, Yutao Zhong:
Improved Balanced Classification with Theoretically Grounded Loss Functions. NeurIPS 2025 - [c187]Eshwar Ram Arunachaleswaran
, Natalie Collina, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan:
Swap Regret and Correlated Equilibria Beyond Normal-Form Games. EC 2025: 130-157 - [i105]Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong:
Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data. CoRR abs/2502.10381 (2025) - [i104]Eshwar Ram Arunachaleswaran, Natalie Collina, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan:
Swap Regret and Correlated Equilibria Beyond Normal-Form Games. CoRR abs/2502.20229 (2025) - [i103]Maxwell Fishelson, Noah Golowich, Mehryar Mohri, Jon Schneider:
High-Dimensional Calibration from Swap Regret. CoRR abs/2505.21460 (2025) - [i102]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Mastering Multiple-Expert Routing: Realizable H-Consistency and Strong Guarantees for Learning to Defer. CoRR abs/2506.20650 (2025) - [i101]Giulia DeSalvo, Clara Mohri, Mehryar Mohri, Yutao Zhong:
Budgeted Multiple-Expert Deferral. CoRR abs/2510.26706 (2025) - [i100]Mehryar Mohri, Jon Schneider, Yifan Wu:
Coherence Mechanisms for Provable Self-Improvement. CoRR abs/2511.08440 (2025) - [i99]Mehryar Mohri, Yutao Zhong:
Beyond Tsybakov: Model Margin Noise and ℋ-Consistency Bounds. CoRR abs/2511.15816 (2025) - [i98]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Principled Algorithms for Optimizing Generalized Metrics in Binary Classification. CoRR abs/2512.23133 (2025) - [i97]Corinna Cortes, Mehryar Mohri, Yutao Zhong:
Improved Balanced Classification with Theoretically Grounded Loss Functions. CoRR abs/2512.23947 (2025) - 2024
- [j44]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri:
Theory and algorithms for learning with rejection in binary classification. Ann. Math. Artif. Intell. 92(2): 277-315 (2024) - [j43]Pranjal Awasthi, Corinna Cortes, Mehryar Mohri:
Best-effort adaptation. Ann. Math. Artif. Intell. 92(2): 393-438 (2024) - [c186]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention. AISTATS 2024: 4753-4761 - [c185]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms. ALT 2024: 822-867 - [c184]Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri:
Differentially Private Domain Adaptation with Theoretical Guarantees. ICML 2024: 3168-3196 - [c183]Anqi Mao, Mehryar Mohri, Yutao Zhong:
H-Consistency Guarantees for Regression. ICML 2024: 34712-34737 - [c182]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Regression with Multi-Expert Deferral. ICML 2024: 34738-34759 - [c181]Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri:
A Theory of Learning with Competing Objectives and User Feedback. ISAIM 2024: 10-49 - [c180]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Principled Approaches for Learning to Defer with Multiple Experts. ISAIM 2024: 107-135 - [c179]Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong:
Cardinality-Aware Set Prediction and Top-$k$ Classification. NeurIPS 2024 - [c178]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Multi-Label Learning with Stronger Consistency Guarantees. NeurIPS 2024 - [c177]Anqi Mao, Mehryar Mohri, Yutao Zhong:
A Universal Growth Rate for Learning with Smooth Surrogate Losses. NeurIPS 2024 - [c176]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer. NeurIPS 2024 - [i96]Anqi Mao, Mehryar Mohri, Yutao Zhong:
H-Consistency Guarantees for Regression. CoRR abs/2403.19480 (2024) - [i95]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Regression with Multi-Expert Deferral. CoRR abs/2403.19494 (2024) - [i94]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Top-k Classification and Cardinality-Aware Prediction. CoRR abs/2403.19625 (2024) - [i93]Anqi Mao, Mehryar Mohri, Yutao Zhong:
A Universal Growth Rate for Learning with Smooth Surrogate Losses. CoRR abs/2405.05968 (2024) - [i92]Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan:
Rate-Preserving Reductions for Blackwell Approachability. CoRR abs/2406.07585 (2024) - [i91]Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong:
Cardinality-Aware Set Prediction and Top-k Classification. CoRR abs/2407.07140 (2024) - [i90]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Enhanced H-Consistency Bounds. CoRR abs/2407.13722 (2024) - [i89]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer. CoRR abs/2407.13732 (2024) - [i88]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Multi-Label Learning with Stronger Consistency Guarantees. CoRR abs/2407.13746 (2024) - 2023
- [c175]Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh:
Principled Approaches for Private Adaptation from a Public Source. AISTATS 2023: 8405-8432 - [c174]Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong:
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness. AISTATS 2023: 10077-10094 - [c173]Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan:
Pseudonorm Approachability and Applications to Regret Minimization. ALT 2023: 471-509 - [c172]Christoph Dann, Yishay Mansour, Mehryar Mohri:
Reinforcement Learning Can Be More Efficient with Multiple Rewards. ICML 2023: 6948-6967 - [c171]Anqi Mao, Mehryar Mohri, Yutao Zhong:
H-Consistency Bounds for Pairwise Misranking Loss Surrogates. ICML 2023: 23743-23802 - [c170]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Cross-Entropy Loss Functions: Theoretical Analysis and Applications. ICML 2023: 23803-23828 - [c169]Anqi Mao, Mehryar Mohri, Yutao Zhong:
H-Consistency Bounds: Characterization and Extensions. NeurIPS 2023 - [c168]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Structured Prediction with Stronger Consistency Guarantees. NeurIPS 2023 - [c167]Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong:
Two-Stage Learning to Defer with Multiple Experts. NeurIPS 2023 - [i87]Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan:
Pseudonorm Approachability and Applications to Regret Minimization. CoRR abs/2302.01517 (2023) - [i86]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Cross-Entropy Loss Functions: Theoretical Analysis and Applications. CoRR abs/2304.07288 (2023) - [i85]Pranjal Awasthi, Corinna Cortes, Mehryar Mohri:
Best-Effort Adaptation. CoRR abs/2305.05816 (2023) - [i84]Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri:
Differentially Private Domain Adaptation with Theoretical Guarantees. CoRR abs/2306.08838 (2023) - [i83]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Ranking with Abstention. CoRR abs/2307.02035 (2023) - [i82]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention. CoRR abs/2310.14770 (2023) - [i81]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms. CoRR abs/2310.14772 (2023) - [i80]Anqi Mao, Mehryar Mohri, Yutao Zhong:
Principled Approaches for Learning to Defer with Multiple Experts. CoRR abs/2310.14774 (2023) - 2022
- [j42]Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Multiple-source adaptation theory and algorithms - addendum. Ann. Math. Artif. Intell. 90(6): 569-572 (2022) - [c166]Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan:
Strategizing against Learners in Bayesian Games. COLT 2022: 5221-5252 - [c165]Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong:
H-Consistency Bounds for Surrogate Loss Minimizers. ICML 2022: 1117-1174 - [c164]Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan:
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation. ICML 2022: 4666-4689 - [c163]Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong:
Multi-Class $H$-Consistency Bounds. NeurIPS 2022 - [c162]Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh:
Differentially Private Learning with Margin Guarantees. NeurIPS 2022 - [c161]Teodor Vanislavov Marinov, Mehryar Mohri, Julian Zimmert:
Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality. NeurIPS 2022 - [i79]Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh:
Differentially Private Learning with Margin Guarantees. CoRR abs/2204.10376 (2022) - [i78]Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong:
H-Consistency Estimation Error of Surrogate Loss Minimizers. CoRR abs/2205.08017 (2022) - [i77]Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan:
Strategizing against Learners in Bayesian Games. CoRR abs/2205.08562 (2022) - [i76]Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan:
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation. CoRR abs/2206.09421 (2022) - [i75]Teodor V. Marinov, Mehryar Mohri, Julian Zimmert:
Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality. CoRR abs/2206.10022 (2022) - [i74]Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh:
Private Domain Adaptation from a Public Source. CoRR abs/2208.06135 (2022) - [i73]Christoph Dann, Mehryar Mohri, Tong Zhang, Julian Zimmert:
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning. CoRR abs/2208.10904 (2022) - 2021
- [j41]Ningshan Zhang, Mehryar Mohri, Judy Hoffman:
Multiple-source adaptation theory and algorithms. Ann. Math. Artif. Intell. 89(3-4): 237-270 (2021) - [j40]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [c160]Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri:
Corralling Stochastic Bandit Algorithms. AISTATS 2021: 2116-2124 - [c159]Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh, Ke Wu:
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data. AISTATS 2021: 2332-2340 - [c158]Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh:
Relative Deviation Margin Bounds. ICML 2021: 2122-2131 - [c157]Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang:
A Discriminative Technique for Multiple-Source Adaptation. ICML 2021: 2132-2143 - [c156]Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh:
Communication-Efficient Agnostic Federated Averaging. Interspeech 2021: 871-875 - [c155]Christoph Dann, Teodor Vanislavov Marinov, Mehryar Mohri, Julian Zimmert:
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning. NeurIPS 2021: 1-12 - [c154]Pranjal Awasthi, Natalie Frank, Mehryar Mohri:
On the Existence of The Adversarial Bayes Classifier. NeurIPS 2021: 2978-2990 - [c153]Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong:
Calibration and Consistency of Adversarial Surrogate Losses. NeurIPS 2021: 9804-9815 - [c152]Christoph Dann, Mehryar Mohri, Tong Zhang, Julian Zimmert:
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning. NeurIPS 2021: 12040-12051 - [c151]Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh:
Learning with User-Level Privacy. NeurIPS 2021: 12466-12479 - [c150]Corinna Cortes, Mehryar Mohri, Dmitry Storcheus, Ananda Theertha Suresh:
Boosting with Multiple Sources. NeurIPS 2021: 17373-17387 - [c149]Ayush Sekhari, Christoph Dann, Mehryar Mohri, Yishay Mansour, Karthik Sridharan:
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations. NeurIPS 2021: 19033-19045 - [c148]Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh:
Breaking the centralized barrier for cross-device federated learning. NeurIPS 2021: 28663-28676 - [i72]Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh:
Learning with User-Level Privacy. CoRR abs/2102.11845 (2021) - [i71]Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh:
Communication-Efficient Agnostic Federated Averaging. CoRR abs/2104.02748 (2021) - [i70]Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong:
Calibration and Consistency of Adversarial Surrogate Losses. CoRR abs/2104.09658 (2021) - [i69]Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong:
A Finer Calibration Analysis for Adversarial Robustness. CoRR abs/2105.01550 (2021) - [i68]Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan:
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations. CoRR abs/2106.11519 (2021) - [i67]Christoph Dann, Teodor V. Marinov, Mehryar Mohri, Julian Zimmert:
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning. CoRR abs/2107.01264 (2021) - [i66]Dylan J. Foster, Claudio Gentile, Mehryar Mohri, Julian Zimmert:
Adapting to Misspecification in Contextual Bandits. CoRR abs/2107.05745 (2021) - [i65]Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu:
A Field Guide to Federated Optimization. CoRR abs/2107.06917 (2021) - [i64]Pranjal Awasthi, Natalie S. Frank, Mehryar Mohri:
On the Existence of the Adversarial Bayes Classifier (Extended Version). CoRR abs/2112.01694 (2021) - 2020
- [j39]Vitaly Kuznetsov, Mehryar Mohri:
Discrepancy-Based Theory and Algorithms for Forecasting Non-Stationary Time Series. Ann. Math. Artif. Intell. 88(4): 367-399 (2020) - [c147]Pranjal Awasthi, Natalie Frank, Mehryar Mohri:
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks. ICML 2020: 431-441 - [c146]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Adaptive Region-Based Active Learning. ICML 2020: 2144-2153 - [c145]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Online Learning with Dependent Stochastic Feedback Graphs. ICML 2020: 2154-2163 - [c144]Jenny Hamer, Mehryar Mohri, Ananda Theertha Suresh:
FedBoost: A Communication-Efficient Algorithm for Federated Learning. ICML 2020: 3973-3983 - [c143]Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh:
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning. ICML 2020: 5132-5143 - [c142]Pranjal Awasthi, Satyen Kale, Stefani Karp, Mehryar Mohri:
PAC-Bayes Learning Bounds for Sample-Dependent Priors. NeurIPS 2020 - [c141]Corinna Cortes, Mehryar Mohri, Javier Gonzalvo, Dmitry Storcheus:
Agnostic Learning with Multiple Objectives. NeurIPS 2020 - [c140]Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan:
Reinforcement Learning with Feedback Graphs. NeurIPS 2020 - [c139]Dylan J. Foster, Claudio Gentile, Mehryar Mohri, Julian Zimmert:
Adapting to Misspecification in Contextual Bandits. NeurIPS 2020 - [i63]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Adaptive Region-Based Active Learning. CoRR abs/2002.07348 (2020) - [i62]Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh:
Three Approaches for Personalization with Applications to Federated Learning. CoRR abs/2002.10619 (2020) - [i61]Pranjal Awasthi, Natalie Frank, Mehryar Mohri:
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks. CoRR abs/2004.13617 (2020) - [i60]Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan:
Reinforcement Learning with Feedback Graphs. CoRR abs/2005.03789 (2020) - [i59]Raman Arora, Teodor V. Marinov, Mehryar Mohri:
Corralling Stochastic Bandit Algorithms. CoRR abs/2006.09255 (2020) - [i58]Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh:
Relative Deviation Margin Bounds. CoRR abs/2006.14950 (2020) - [i57]Yishay Mansour, Mehryar Mohri, Ananda Theertha Suresh, Ke Wu:
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data. CoRR abs/2007.09762 (2020) - [i56]Pranjal Awasthi, Natalie Frank, Mehryar Mohri:
On the Rademacher Complexity of Linear Hypothesis Sets. CoRR abs/2007.11045 (2020) - [i55]Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh:
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning. CoRR abs/2008.03606 (2020) - [i54]Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri:
Beyond Individual and Group Fairness. CoRR abs/2008.09490 (2020) - [i53]Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang:
Multiple-Source Adaptation with Domain Classifiers. CoRR abs/2008.11036 (2020)
2010 – 2019
- 2019
- [j38]Corinna Cortes, Spencer Greenberg, Mehryar Mohri:
Relative deviation learning bounds and generalization with unbounded loss functions. Ann. Math. Artif. Intell. 85(1): 45-70 (2019) - [j37]Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina:
Adaptation Based on Generalized Discrepancy. J. Mach. Learn. Res. 20: 1:1-1:30 (2019) - [c138]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Region-Based Active Learning. AISTATS 2019: 2801-2809 - [c137]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth:
Online Non-Additive Path Learning under Full and Partial Information. ALT 2019: 274-299 - [c136]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang:
Online Learning with Sleeping Experts and Feedback Graphs. ICML 2019: 1370-1378 - [c135]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile:
Active Learning with Disagreement Graphs. ICML 2019: 1379-1387 - [c134]Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh:
Agnostic Federated Learning. ICML 2019: 4615-4625 - [c133]Corinna Cortes, Mehryar Mohri, Dmitry Storcheus:
Regularized Gradient Boosting. NeurIPS 2019: 5450-5459 - [c132]Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang:
Learning GANs and Ensembles Using Discrepancy. NeurIPS 2019: 5788-5799 - [c131]Dylan J. Foster, Spencer Greenberg, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan:
Hypothesis Set Stability and Generalization. NeurIPS 2019: 6726-6736 - [c130]Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri:
Bandits with Feedback Graphs and Switching Costs. NeurIPS 2019: 10397-10407 - [i52]Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh:
Agnostic Federated Learning. CoRR abs/1902.00146 (2019) - [i51]Dylan J. Foster, Spencer Greenberg, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan:
Hypothesis Set Stability and Generalization. CoRR abs/1904.04755 (2019) - [i50]Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes:
AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles. CoRR abs/1905.00080 (2019) - [i49]Raman Arora, Teodor V. Marinov, Mehryar Mohri:
Bandits with Feedback Graphs and Switching Costs. CoRR abs/1907.12189 (2019) - [i48]Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh:
SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning. CoRR abs/1910.06378 (2019) - [i47]Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang:
Learning GANs and Ensembles Using Discrepancy. CoRR abs/1910.08965 (2019) - [i46]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - 2018
- [j36]Borja Balle, Mehryar Mohri:
Generalization bounds for learning weighted automata. Theor. Comput. Sci. 716: 89-106 (2018) - [c129]Mehryar Mohri, Scott Yang:
Competing with Automata-based Expert Sequences. AISTATS 2018: 1732-1740 - [c128]Dylan J. Foster, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan:
Logistic Regression: The Importance of Being Improper. COLT 2018: 167-208 - [c127]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang:
Online Learning with Abstention. ICML 2018: 1067-1075 - [c126]Raman Arora, Michael Dinitz, Teodor Vanislavov Marinov, Mehryar Mohri:
Policy Regret in Repeated Games. NeurIPS 2018: 6733-6742 - [c125]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Dmitry Storcheus, Scott Yang:
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses. NeurIPS 2018: 6811-6822 - [c124]Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Algorithms and Theory for Multiple-Source Adaptation. NeurIPS 2018: 8256-8266 - [e2]Firdaus Janoos, Mehryar Mohri, Karthik Sridharan:
Algorithmic Learning Theory, ALT 2018, 7-9 April 2018, Lanzarote, Canary Islands, Spain. Proceedings of Machine Learning Research 83, PMLR 2018 [contents] - [i45]Dylan J. Foster, Satyen Kale, Mehryar Mohri, Karthik Sridharan:
Parameter-free online learning via model selection. CoRR abs/1801.00101 (2018) - [i44]Vitaly Kuznetsov, Mehryar Mohri:
Theory and Algorithms for Forecasting Time Series. CoRR abs/1803.05814 (2018) - [i43]Dylan J. Foster, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan:
Logistic Regression: The Importance of Being Improper. CoRR abs/1803.09349 (2018) - [i42]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth:
Online Non-Additive Path Learning under Full and Partial Information. CoRR abs/1804.06518 (2018) - [i41]Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Algorithms and Theory for Multiple-Source Adaptation. CoRR abs/1805.08727 (2018) - [i40]Raman Arora, Michael Dinitz, Teodor V. Marinov, Mehryar Mohri:
Policy Regret in Repeated Games. CoRR abs/1811.04127 (2018) - 2017
- [j35]Vitaly Kuznetsov, Mehryar Mohri:
Generalization bounds for non-stationary mixing processes. Mach. Learn. 106(1): 93-117 (2017) - [j34]Mehryar Mohri, Michael D. Riley:
A disambiguation algorithm for weighted automata. Theor. Comput. Sci. 679: 53-68 (2017) - [c123]Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang:
AdaNet: Adaptive Structural Learning of Artificial Neural Networks. ICML 2017: 874-883 - [c122]Scott Yang, Mehryar Mohri:
Online Learning with Transductive Regret. NIPS 2017: 5214-5224 - [c121]Vitaly Kuznetsov, Mehryar Mohri:
Discriminative State Space Models. NIPS 2017: 5671-5679 - [c120]Dylan J. Foster, Satyen Kale, Mehryar Mohri, Karthik Sridharan:
Parameter-Free Online Learning via Model Selection. NIPS 2017: 6020-6030 - [i39]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Scott Yang:
On-line Learning with Abstention. CoRR abs/1703.03478 (2017) - [i38]Mehryar Mohri, Scott Yang:
Online Learning with Expert Automata. CoRR abs/1705.00132 (2017) - [i37]Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Multiple-Source Adaptation for Regression Problems. CoRR abs/1711.05037 (2017) - 2016
- [j33]Mehryar Mohri, Andres Muñoz Medina:
Learning Algorithms for Second-Price Auctions with Reserve. J. Mach. Learn. Res. 17: 74:1-74:25 (2016) - [c119]Giulia DeSalvo, Mehryar Mohri:
Random Composite Forests. AAAI 2016: 1540-1546 - [c118]Mehryar Mohri, Scott Yang:
Accelerating Online Convex Optimization via Adaptive Prediction. AISTATS 2016: 848-856 - [c117]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri:
Learning with Rejection. ALT 2016: 67-82 - [c116]Mehryar Mohri, Scott Yang:
Structural Online Learning. ALT 2016: 223-237 - [c115]Vitaly Kuznetsov, Mehryar Mohri:
Time series prediction and online learning. COLT 2016: 1190-1213 - [c114]Vitaly Kuznetsov, Hank Liao, Mehryar Mohri, Michael Riley, Brian Roark:
Learning N-Gram Language Models from Uncertain Data. INTERSPEECH 2016: 2323-2327 - [c113]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri:
Boosting with Abstention. NIPS 2016: 1660-1668 - [c112]Scott Yang, Mehryar Mohri:
Optimistic Bandit Convex Optimization. NIPS 2016: 2289-2297 - [c111]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang:
Structured Prediction Theory Based on Factor Graph Complexity. NIPS 2016: 2514-2522 - [c110]Scott Yang, Mehryar Mohri:
Adaptive Algorithms and Data-Dependent Guarantees for Bandit Convex Optimization. UAI 2016 - [i36]Corinna Cortes, Mehryar Mohri, Vitaly Kuznetsov, Scott Yang:
Structured Prediction Theory and Voted Risk Minimization. CoRR abs/1605.06443 (2016) - [i35]Corinna Cortes, Xavi Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang:
AdaNet: Adaptive Structural Learning of Artificial Neural Networks. CoRR abs/1607.01097 (2016) - [i34]Borja Balle, Mehryar Mohri:
Generalization Bounds for Weighted Automata. CoRR abs/1610.07883 (2016) - 2015
- [c109]Borja Balle, Mehryar Mohri:
On the Rademacher Complexity of Weighted Automata. ALT 2015: 179-193 - [c108]Giulia DeSalvo, Mehryar Mohri, Umar Syed:
Learning with Deep Cascades. ALT 2015: 254-269 - [c107]Borja Balle, Mehryar Mohri:
Learning Weighted Automata. CAI 2015: 1-21 - [c106]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Manfred K. Warmuth:
On-Line Learning Algorithms for Path Experts with Non-Additive Losses. COLT 2015: 424-447 - [c105]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed:
Structural Maxent Models. ICML 2015: 391-399 - [c104]Mehryar Mohri, Michael Riley, Ananda Theertha Suresh:
Automata and graph compression. ISIT 2015: 2989-2993 - [c103]Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina:
Adaptation Algorithm and Theory Based on Generalized Discrepancy. KDD 2015: 169-178 - [c102]Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri:
Kernel Extraction via Voted Risk Minimization. FE@NIPS 2015: 72-89 - [c101]Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus:
Generalization Bounds for Supervised Dimensionality Reduction. FE@NIPS 2015: 226-241 - [c100]Vitaly Kuznetsov, Mehryar Mohri:
Learning Theory and Algorithms for Forecasting Non-stationary Time Series. NIPS 2015: 541-549 - [c99]Mehryar Mohri, Andres Muñoz Medina:
Revenue Optimization against Strategic Buyers. NIPS 2015: 2530-2538 - [c98]Mehryar Mohri, Andres Muñoz Medina:
Non-parametric Revenue Optimization for Generalized Second Price auctions.. UAI 2015: 612-621 - [c97]Mehryar Mohri, Michael D. Riley:
On the Disambiguation of Weighted Automata. CIAA 2015: 263-278 - [i33]Mehryar Mohri, Michael Riley, Ananda Theertha Suresh:
Automata and Graph Compression. CoRR abs/1502.07288 (2015) - [i32]Mehryar Mohri, Andres Muñoz Medina:
Non-parametric Revenue Optimization for Generalized Second Price Auctions. CoRR abs/1506.02719 (2015) - [i31]Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri:
Voted Kernel Regularization. CoRR abs/1509.04340 (2015) - [i30]Mehryar Mohri, Scott Yang:
Accelerating Optimization via Adaptive Prediction. CoRR abs/1509.05760 (2015) - [i29]Dmitry Storcheus, Mehryar Mohri, Afshin Rostamizadeh:
Foundations of Coupled Nonlinear Dimensionality Reduction. CoRR abs/1509.08880 (2015) - 2014
- [j32]Corinna Cortes, Mehryar Mohri:
Domain adaptation and sample bias correction theory and algorithm for regression. Theor. Comput. Sci. 519: 103-126 (2014) - [c96]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri:
Learning Ensembles of Structured Prediction Rules. ACL (1) 2014: 1-12 - [c95]Vitaly Kuznetsov, Mehryar Mohri:
Generalization Bounds for Time Series Prediction with Non-stationary Processes. ALT 2014: 260-274 - [c94]Mehryar Mohri, Andres Muñoz Medina:
Learning Theory and Algorithms for revenue optimization in second price auctions with reserve. ICML 2014: 262-270 - [c93]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri:
Ensemble Methods for Structured Prediction. ICML 2014: 1134-1142 - [c92]Corinna Cortes, Mehryar Mohri, Umar Syed:
Deep Boosting. ICML 2014: 1179-1187 - [c91]Arthur Asuncion, Jac de Haan, Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong:
Corporate learning at scale: lessons from a large online course at google. L@S 2014: 187-188 - [c90]Mehryar Mohri, Scott Yang:
Conditional Swap Regret and Conditional Correlated Equilibrium. NIPS 2014: 1314-1322 - [c89]Mehryar Mohri, Andres Muñoz Medina:
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers. NIPS 2014: 1871-1879 - [c88]Vitaly Kuznetsov, Mehryar Mohri, Umar Syed:
Multi-Class Deep Boosting. NIPS 2014: 2501-2509 - [i28]Mehryar Mohri, Michael D. Riley:
On the Disambiguation of Weighted Automata. CoRR abs/1405.0500 (2014) - [i27]Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina:
Adaptation Algorithm and Theory Based on Generalized Discrepancy. CoRR abs/1405.1503 (2014) - [i26]Mehryar Mohri, Andres Muñoz Medina:
Revenue Optimization in Posted-Price Auctions with Strategic Buyers. CoRR abs/1411.6305 (2014) - 2013
- [j31]Mehryar Mohri:
On the Disambiguation of Finite Automata and Functional Transducers. Int. J. Found. Comput. Sci. 24(6): 847-862 (2013) - [j30]Ameet Talwalkar, Sanjiv Kumar, Mehryar Mohri, Henry A. Rowley:
Large-scale SVD and manifold learning. J. Mach. Learn. Res. 14(1): 3129-3152 (2013) - [c87]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Multi-Class Classification with Maximum Margin Multiple Kernel. ICML (3) 2013: 46-54 - [c86]Corinna Cortes, Marius Kloft, Mehryar Mohri:
Learning Kernels Using Local Rademacher Complexity. NIPS 2013: 2760-2768 - [i25]Mehryar Mohri, Afshin Rostamizadeh:
Perceptron Mistake Bounds. CoRR abs/1305.0208 (2013) - [i24]Spencer Greenberg, Mehryar Mohri:
Tight Lower Bound on the Probability of a Binomial Exceeding its Expectation. CoRR abs/1306.1433 (2013) - [i23]Mehryar Mohri, Andres Muñoz Medina:
Learning Theory and Algorithms for Revenue Optimization in Second-Price Auctions with Reserve. CoRR abs/1310.5665 (2013) - [i22]Corinna Cortes, Spencer Greenberg, Mehryar Mohri:
Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functions. CoRR abs/1310.5796 (2013) - 2012
- [b1]Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar:
Foundations of Machine Learning. Adaptive computation and machine learning, MIT Press 2012, ISBN 978-0-262-01825-8, pp. I-XII, 1-412 - [j29]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Algorithms for Learning Kernels Based on Centered Alignment. J. Mach. Learn. Res. 13: 795-828 (2012) - [j28]Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar:
Sampling Methods for the Nyström Method. J. Mach. Learn. Res. 13: 981-1006 (2012) - [c85]Mehryar Mohri, Andres Muñoz Medina:
New Analysis and Algorithm for Learning with Drifting Distributions. ALT 2012: 124-138 - [c84]Stephen P. Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic:
Accuracy at the Top. NIPS 2012: 962-970 - [c83]Borja Balle, Mehryar Mohri:
Spectral Learning of General Weighted Automata via Constrained Matrix Completion. NIPS 2012: 2168-2176 - [c82]Mehryar Mohri:
A Disambiguation Algorithm for Finite Automata and Functional Transducers. CIAA 2012: 265-277 - [i21]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Ensembles of Kernel Predictors. CoRR abs/1202.3712 (2012) - [i20]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Algorithms for Learning Kernels Based on Centered Alignment. CoRR abs/1203.0550 (2012) - [i19]Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh:
Multiple Source Adaptation and the Renyi Divergence. CoRR abs/1205.2628 (2012) - [i18]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
L2 Regularization for Learning Kernels. CoRR abs/1205.2653 (2012) - [i17]Mehryar Mohri, Andres Muñoz Medina:
New Analysis and Algorithm for Learning with Drifting Distributions. CoRR abs/1205.4343 (2012) - 2011
- [j27]Cyril Allauzen, Mehryar Mohri, Ashish Rastogi:
General Algorithms for Testing the Ambiguity of Finite Automata and the Double-Tape Ambiguity of Finite-State Transducers. Int. J. Found. Comput. Sci. 22(4): 883-904 (2011) - [j26]Cyril Allauzen, Corinna Cortes, Mehryar Mohri:
A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels. Int. J. Found. Comput. Sci. 22(8): 1761-1779 (2011) - [c81]Corinna Cortes, Mehryar Mohri:
Domain Adaptation in Regression. ALT 2011: 308-323 - [c80]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Ensembles of Kernel Predictors. UAI 2011: 145-152 - [c79]Mehryar Mohri, Ameet Talwalkar:
Can matrix coherence be efficiently and accurately estimated? AISTATS 2011: 534-542 - [i16]Maxime Crochemore, Lila Kari, Mehryar Mohri, Dirk Nowotka:
Combinatorial and Algorithmic Aspects of Sequence Processing (Dagstuhl Seminar 11081). Dagstuhl Reports 1(2): 47-66 (2011) - 2010
- [j25]Mehryar Mohri, Afshin Rostamizadeh:
Stability Bounds for Stationary phi-mixing and beta-mixing Processes. J. Mach. Learn. Res. 11: 789-814 (2010) - [j24]Nir Ailon, Mehryar Mohri:
Preference-based learning to rank. Mach. Learn. 80(2-3): 189-211 (2010) - [j23]Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein:
Efficient and Robust Music Identification With Weighted Finite-State Transducers. IEEE Trans. Speech Audio Process. 18(1): 197-207 (2010) - [c78]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Two-Stage Learning Kernel Algorithms. ICML 2010: 239-246 - [c77]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Generalization Bounds for Learning Kernels. ICML 2010: 247-254 - [c76]Cyril Allauzen, Shankar Kumar, Wolfgang Macherey, Mehryar Mohri, Michael Riley:
Expected Sequence Similarity Maximization. HLT-NAACL 2010: 957-965 - [c75]Corinna Cortes, Yishay Mansour, Mehryar Mohri:
Learning Bounds for Importance Weighting. NIPS 2010: 442-450 - [c74]Cyril Allauzen, Corinna Cortes, Mehryar Mohri:
Large-Scale Training of SVMs with Automata Kernels. CIAA 2010: 17-27 - [c73]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri:
Half Transductive Ranking. AISTATS 2010: 49-56 - [c72]Corinna Cortes, Mehryar Mohri, Ameet Talwalkar:
On the Impact of Kernel Approximation on Learning Accuracy. AISTATS 2010: 113-120 - [c71]Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein:
Discriminative Topic Segmentation of Text and Speech. AISTATS 2010: 533-540 - [e1]Adam Tauman Kalai, Mehryar Mohri:
COLT 2010 - The 23rd Conference on Learning Theory, Haifa, Israel, June 27-29, 2010. Omnipress 2010, ISBN 978-0-9822529-2-5 [contents] - [i15]Mehryar Mohri, Ameet Talwalkar:
On the Estimation of Coherence. CoRR abs/1009.0861 (2010)
2000 – 2009
- 2009
- [j22]Cyril Allauzen, Mehryar Mohri:
N-Way Composition of Weighted Finite-State Transducers. Int. J. Found. Comput. Sci. 20(4): 613-627 (2009) - [j21]Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein:
General suffix automaton construction algorithm and space bounds. Theor. Comput. Sci. 410(37): 3553-3562 (2009) - [c70]Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh:
Domain Adaptation: Learning Bounds and Algorithms. COLT 2009 - [c69]Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar:
On sampling-based approximate spectral decomposition. ICML 2009: 553-560 - [c68]Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein:
A new quality measure for topic segmentation of text and speech. INTERSPEECH 2009: 2743-2746 - [c67]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri:
Polynomial Semantic Indexing. NIPS 2009: 64-72 - [c66]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Learning Non-Linear Combinations of Kernels. NIPS 2009: 396-404 - [c65]Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar:
Ensemble Nystrom Method. NIPS 2009: 1060-1068 - [c64]Gideon Mann, Ryan T. McDonald, Mehryar Mohri, Nathan Silberman, Dan Walker:
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models. NIPS 2009: 1231-1239 - [c63]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
L2 Regularization for Learning Kernels. UAI 2009: 109-116 - [c62]Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh:
Multiple Source Adaptation and the Rényi Divergence. UAI 2009: 367-374 - [c61]Koby Crammer, Mehryar Mohri, Fernando Pereira:
Gaussian Margin Machines. AISTATS 2009: 105-112 - [c60]Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar:
Sampling Techniques for the Nystrom Method. AISTATS 2009: 304-311 - [i14]Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh:
Domain Adaptation: Learning Bounds and Algorithms. CoRR abs/0902.3430 (2009) - [i13]Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi:
Stability Analysis and Learning Bounds for Transductive Regression Algorithms. CoRR abs/0904.0814 (2009) - [i12]Cyril Allauzen, Mehryar Mohri:
Linear-Space Computation of the Edit-Distance between a String and a Finite Automaton. CoRR abs/0904.4686 (2009) - [i11]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
New Generalization Bounds for Learning Kernels. CoRR abs/0912.3309 (2009) - 2008
- [j20]Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley:
On the Computation of the Relative Entropy of Probabilistic Automata. Int. J. Found. Comput. Sci. 19(1): 219-242 (2008) - [j19]Leonid Kontorovich, Corinna Cortes, Mehryar Mohri:
Kernel methods for learning languages. Theor. Comput. Sci. 405(3): 223-236 (2008) - [c59]Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh:
Sample Selection Bias Correction Theory. ALT 2008: 38-53 - [c58]Nir Ailon, Mehryar Mohri:
An Efficient Reduction of Ranking to Classification. COLT 2008: 87-98 - [c57]Cyril Allauzen, Mehryar Mohri, Ashish Rastogi:
General Algorithms for Testing the Ambiguity of Finite Automata. Developments in Language Theory 2008: 108-120 - [c56]Corinna Cortes, Mehryar Mohri:
Learning with Weighted Transducers. FSMNLP 2008: 14-22 - [c55]Cyril Allauzen, Mehryar Mohri, Ameet Talwalkar:
Sequence kernels for predicting protein essentiality. ICML 2008: 9-16 - [c54]Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi:
Stability of transductive regression algorithms. ICML 2008: 176-183 - [c53]Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh:
Domain Adaptation with Multiple Sources. NIPS 2008: 1041-1048 - [c52]Mehryar Mohri, Afshin Rostamizadeh:
Rademacher Complexity Bounds for Non-I.I.D. Processes. NIPS 2008: 1097-1104 - [c51]Cyril Allauzen, Mehryar Mohri:
3-Way Composition of Weighted Finite-State Transducers. CIAA 2008: 262-273 - [i10]Cyril Allauzen, Mehryar Mohri:
3-Way Composition of Weighted Finite-State Transducers. CoRR abs/0802.1465 (2008) - [i9]Cyril Allauzen, Mehryar Mohri, Ashish Rastogi:
General Algorithms for Testing the Ambiguity of Finite Automata. CoRR abs/0802.3254 (2008) - [i8]Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh:
Sample Selection Bias Correction Theory. CoRR abs/0805.2775 (2008) - [i7]Mehryar Mohri, Afshin Rostamizadeh:
Stability Bound for Stationary Phi-mixing and Beta-mixing Processes. CoRR abs/0811.1629 (2008) - 2007
- [j18]Corinna Cortes, Mehryar Mohri, Ashish Rastogi:
LP Distance and Equivalence of Probabilistic Automata. Int. J. Found. Comput. Sci. 18(4): 761-779 (2007) - [c50]Corinna Cortes, Leonid Kontorovich, Mehryar Mohri:
Learning Languages with Rational Kernels. COLT 2007: 349-364 - [c49]Corinna Cortes, Mehryar Mohri, Ashish Rastogi:
Magnitude-preserving ranking algorithms. ICML 2007: 169-176 - [c48]Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein:
Robust Music Identification, Detection, and Analysis. ISMIR 2007: 135-138 - [c47]Mehryar Mohri, Afshin Rostamizadeh:
Stability Bounds for Non-i.i.d. Processes. NIPS 2007: 1025-1032 - [c46]Corinna Cortes, Mehryar Mohri, Ashish Rastogi:
An Alternative Ranking Problem for Search Engines. WEA 2007: 1-22 - [c45]Cyril Allauzen, Michael Riley, Johan Schalkwyk, Wojciech Skut, Mehryar Mohri:
OpenFst: A General and Efficient Weighted Finite-State Transducer Library. CIAA 2007: 11-23 - [c44]Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein:
Factor Automata of Automata and Applications. CIAA 2007: 168-179 - [i6]Nir Ailon, Mehryar Mohri:
An efficient reduction of ranking to classification. CoRR abs/0710.2889 (2007) - 2006
- [c43]Leonid Kontorovich, Corinna Cortes, Mehryar Mohri:
Learning Linearly Separable Languages. ALT 2006: 288-303 - [c42]Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley:
Efficient Computation of the Relative Entropy of Probabilistic Automata. LATIN 2006: 323-336 - [c41]Cyril Allauzen, Mehryar Mohri:
A Unified Construction of the Glushkov, Follow, and Antimirov Automata. MFCS 2006: 110-121 - [c40]Mehryar Mohri, Brian Roark:
Probabilistic Context-Free Grammar Induction Based on Structural Zeros. HLT-NAACL 2006 - [c39]Corinna Cortes, Mehryar Mohri:
On Transductive Regression. NIPS 2006: 305-312 - [c38]Corinna Cortes, Mehryar Mohri, Ashish Rastogi:
On the Computation of Some Standard Distances Between Probabilistic Automata. CIAA 2006: 137-149 - 2005
- [j17]Cyril Allauzen, Mehryar Mohri, Brian Roark:
The design principles and algorithms of a weighted grammar library. Int. J. Found. Comput. Sci. 16(3): 403-421 (2005) - [j16]Corinna Cortes, Mehryar Mohri:
Moment Kernels for Regular Distributions. Mach. Learn. 60(1-3): 117-134 (2005) - [c37]Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robert E. Schapire:
Margin-Based Ranking Meets Boosting in the Middle. COLT 2005: 63-78 - [c36]Joannès Vermorel, Mehryar Mohri:
Multi-armed Bandit Algorithms and Empirical Evaluation. ECML 2005: 437-448 - [c35]Izhak Shafran, Mehryar Mohri:
A Comparison of Classifiers for Detecting Emotion from Speech. ICASSP (1) 2005: 341-344 - [c34]Corinna Cortes, Mehryar Mohri, Jason Weston:
A general regression technique for learning transductions. ICML 2005: 153-160 - [i5]Mehryar Mohri, Fernando Pereira, Michael Riley:
Weighted Automata in Text and Speech Processing. CoRR abs/cs/0503077 (2005) - 2004
- [j15]Corinna Cortes, Patrick Haffner, Mehryar Mohri:
Rational Kernels: Theory and Algorithms. J. Mach. Learn. Res. 5: 1035-1062 (2004) - [j14]Cyril Allauzen, Mehryar Mohri:
An optimal pre-determinization algorithm for weighted transducers. Theor. Comput. Sci. 328(1-2): 3-18 (2004) - [c33]Mehryar Mohri, Cyril Allauzen, Michael Riley:
Statistical Modeling for Unit Selection in Speech Synthesis. ACL 2004: 55-62 - [c32]Cyril Allauzen, Mehryar Mohri, Michael Riley, Brian Roark:
A generalized construction of integrated speech recognition transducers. ICASSP (1) 2004: 761-764 - [c31]Corinna Cortes, Mehryar Mohri:
Distribution kernels based on moments of counts. ICML 2004 - [c30]Corinna Cortes, Mehryar Mohri:
Confidence Intervals for the Area Under the ROC Curve. NIPS 2004: 305-312 - [c29]Cyril Allauzen, Mehryar Mohri, Brian Roark:
A General Weighted Grammar Library. CIAA 2004: 23-34 - 2003
- [j13]Mehryar Mohri:
Edit-Distance Of Weighted Automata: General Definitions And Algorithms. Int. J. Found. Comput. Sci. 14(6): 957-982 (2003) - [j12]Cyril Allauzen, Mehryar Mohri:
Finitely Subsequential Transducers. Int. J. Found. Comput. Sci. 14(6): 983-994 (2003) - [j11]Cyril Allauzen, Mehryar Mohri:
Efficient Algorithms for Testing the Twins Property. J. Autom. Lang. Comb. 8(2): 117-144 (2003) - [c28]Cyril Allauzen, Mehryar Mohri, Brian Roark:
Generalized Algorithms for Constructing Statistical Language Models. ACL 2003: 40-47 - [c27]Corinna Cortes, Patrick Haffner, Mehryar Mohri:
Positive Definite Rational Kernels. COLT 2003: 41-56 - [c26]Mehryar Mohri:
Learning from Uncertain Data. COLT 2003: 656-670 - [c25]Cyril Allauzen, Mehryar Mohri:
Generalized optimization algorithm for speech recognition transducers. ICASSP (1) 2003: 352-355 - [c24]Corinna Cortes, Patrick Haffner, Mehryar Mohri:
Lattice kernels for spoken-dialog classification. ICASSP (1) 2003: 628-631 - [c23]Corinna Cortes, Patrick Haffner, Mehryar Mohri:
Weighted automata kernels - general framework and algorithms. INTERSPEECH 2003: 989-992 - [c22]Corinna Cortes, Mehryar Mohri:
AUC Optimization vs. Error Rate Minimization. NIPS 2003: 313-320 - [c21]Cyril Allauzen, Mehryar Mohri:
An Efficient Pre-determinization Algorithm. CIAA 2003: 83-95 - 2002
- [j10]Mehryar Mohri, Fernando Pereira, Michael Riley:
Weighted finite-state transducers in speech recognition. Comput. Speech Lang. 16(1): 69-88 (2002) - [j9]Mehryar Mohri:
Generic e-Removal and Input e-Normalization Algorithms for Weighted Transducers. Int. J. Found. Comput. Sci. 13(1): 129-143 (2002) - [j8]Mehryar Mohri:
Semiring Frameworks and Algorithms for Shortest-Distance Problems. J. Autom. Lang. Comb. 7(3): 321-350 (2002) - [c20]Stephan Kanthak, Hermann Ney, Michael Riley, Mehryar Mohri:
A comparison of two LVR search optimization techniques. INTERSPEECH 2002: 1309-1312 - [c19]Mehryar Mohri, Michael Riley:
An efficient algorithm for the n-best-strings problem. INTERSPEECH 2002: 1313-1316 - [c18]Corinna Cortes, Patrick Haffner, Mehryar Mohri:
Rational Kernels. NIPS 2002: 601-608 - [c17]Mehryar Mohri:
Edit-Distance of Weighted Automata. CIAA 2002: 1-23 - [c16]Cyril Allauzen, Mehryar Mohri:
p-Subsequentiable Transducers. CIAA 2002: 24-34 - 2001
- [c15]Mehryar Mohri, Michael Riley:
A weight pushing algorithm for large vocabulary speech recognition. INTERSPEECH 2001: 1603-1606 - 2000
- [j7]Corinna Cortes, Mehryar Mohri:
Context-Free Recognition with Weighted Automata. Grammars 3(2/3): 133-150 (2000) - [j6]Mehryar Mohri, Fernando C. N. Pereira, Michael Riley:
The Design Principles of a Weighted Finite-State Transducer Library. Theor. Comput. Sci. 231(1): 17-32 (2000) - [j5]Mehryar Mohri:
Minimization algorithms for sequential transducers. Theor. Comput. Sci. 234(1-2): 177-201 (2000) - [c14]Mehryar Mohri:
Generic epsilon -Removal Algorithm for Weighted Automata. CIAA 2000: 230-242
1990 – 1999
- 1999
- [j4]Mehryar Mohri, Michael Riley:
Network optimizations for large-vocabulary speech recognition. Speech Commun. 28(1): 1-12 (1999) - [c13]Mark C. Beutnagel, Mehryar Mohri, Michael Riley:
Rapid unit selection from a large speech corpus for concatenative speech synthesis. EUROSPEECH 1999: 607-610 - [c12]Mehryar Mohri, Michael Riley:
Integrated context-dependent networks in very large vocabulary speech recognition. EUROSPEECH 1999: 811-814 - 1998
- [c11]Mehryar Mohri, Fernando C. N. Pereira:
Dynamic Compilation of Weighted Context-Free Grammars. COLING-ACL 1998: 891-897 - [c10]Mehryar Mohri, Michael Riley, Donald Hindle, Andrej Ljolje, Fernando C. N. Pereira:
Full expansion of context-dependent networks in large vocabulary speech recognition. ICASSP 1998: 665-668 - [c9]Bruce Buntschuh, Candace A. Kamm, Giuseppe Di Fabbrizio, Alicia Abella, Mehryar Mohri, Shrikanth S. Narayanan, Ilija Zeljkovic, R. Doug Sharp, Jeremy H. Wright, S. Marcus, J. Shaffer, R. Duncan, Jay G. Wilpon:
VPQ: a spoken language interface to large scale directory information. ICSLP 1998 - 1997
- [j3]Mehryar Mohri:
Finite-State Transducers in Language and Speech Processing. Comput. Linguistics 23(2): 269-311 (1997) - [j2]Mehryar Mohri:
String-Matching with Automata. Nord. J. Comput. 4(2): 217-231 (1997) - [c8]Mehryar Mohri, Michael Riley:
Weighted determinization and minimization for large vocabulary speech recognition. EUROSPEECH 1997: 131-134 - [c7]Michael Riley, Fernando Pereira, Mehryar Mohri:
Transducer composition for context-dependent network expansion. EUROSPEECH 1997: 1427-1430 - [c6]Mehryar Mohri, Fernando C. N. Pereira, Michael Riley:
A Rational Design for a Weighted Finite-State Transducer Library. Workshop on Implementing Automata 1997: 144-158 - 1996
- [j1]Mehryar Mohri:
On some applications of finite-state automata theory to natural language processing. Nat. Lang. Eng. 2(1): 61-80 (1996) - [c5]Mehryar Mohri, Richard Sproat:
An Efficient Compiler for Weighted Rewrite Rules. ACL 1996: 231-238 - [i4]Mehryar Mohri, Richard Sproat:
An Efficient Compiler for Weighted Rewrite Rules. CoRR cmp-lg/9606026 (1996) - [i3]Mehryar Mohri, Michael Riley, Richard Sproat:
Algorithms for Speech Recognition and Language Processing. CoRR cmp-lg/9608018 (1996) - 1995
- [c4]Mehryar Mohri:
Matching Patterns of An Automaton. CPM 1995: 286-297 - [c3]Denis Maurel, Mehryar Mohri:
Computation of French Temporal Expressions to Query Databases. NLDB 1995 - 1994
- [c2]Mehryar Mohri:
Compact Representations by Finite-State Transducers. ACL 1994: 204-209 - [c1]Mehryar Mohri:
Minimization of Sequential Transducers. CPM 1994: 151-163 - [i2]Mehryar Mohri:
Syntactic Analysis by Local Grammars Automata: an Efficient Algorithm. CoRR abs/cmp-lg/9407002 (1994) - [i1]Mehryar Mohri:
Compact Representations by Finite-State Transducers. CoRR abs/cmp-lg/9407003 (1994)
Coauthor Index
[i115] [i111] [c191] [c188] [i105] [i97] [j44] [j43] [c184] [c181] [c179] [i91] [i85] [i84] [c158] [c157] [c150] [c146] [c145] [c141] [i63] [i58] [i54] [i53] [j38] [j37] [c138] [c137] [c136] [c135] [c133] [c132] [i50] [i47] [c127] [c125] [i42] [c123] [i39] [c117] [c113] [c111] [i36] [i35] [c106] [c105] [c103] [c102] [i31] [j32] [c96] [c93] [c92] [i27] [c87] [c86] [i22] [j29] [c84] [i21] [i20] [i18] [j26] [c81] [c80] [c78] [c77] [c75] [c74] [c73] [c72] [c67] [c66] [c63] [i13] [i11] [j20] [j19] [c59] [c56] [c54] [i8] [j18] [c50] [c49] [c46] [c43] [c42] [c39] [c38] [j16] [c37] [c34] [j15] [c31] [c30] [c27] [c24] [c23] [c22] [c18] [j7]
Teodor V. Marinov
aka: Teodor Vanislavov Marinov
aka: Teodor Vanislavov Marinov
Andrés Muñoz Medina
aka: Andres Muñoz Medina
aka: Andres Muñoz Medina
Michael Riley 0001
aka: Michael D. Riley
aka: Michael D. Riley
[i115] [i111] [i110] [i109] [i108] [i107] [c193] [c191] [c190] [c189] [c188] [i105] [i102] [i101] [i99] [i98] [i97] [c186] [c185] [c183] [c182] [c180] [c179] [c178] [c177] [c176] [i96] [i95] [i94] [i93] [i91] [i90] [i89] [i88] [c174] [c171] [c170] [c169] [c168] [c167] [i86] [i83] [i82] [i81] [i80] [c165] [c163] [i78] [c153] [i70] [i69]
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