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ORCIDGerardo Duràn-Martín
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2020 – today
- 2026
[i10]Gerardo Duran-Martin:
A Predictive View on Streaming Hidden Markov Models. CoRR abs/2604.09208 (2026)- [i9]Horace Yiu, Leandro Sánchez-Betancourt, Álvaro Cartea, Gerardo Duran-Martin:
Doubly Outlier-Robust Online Infinite Hidden Markov Model. CoRR abs/2604.14322 (2026) - 2025
- [j2]Scott W. Linderman
, Peter G. Chang, Giles Harper-Donnelly, Aleyna Kara, Xinglong Li, Gerardo Duran-Martin, Kevin Murphy:
Dynamax: A Python package for probabilistic state space modeling with JAX. J. Open Source Softw. 10(108): 7069 (2025) - [j1]Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alexander Y. Shestopaloff, Kevin Patrick Murphy:
A unifying framework for generalised Bayesian online learning in non-stationary environments. Trans. Mach. Learn. Res. 2025 (2025) - [c4]Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Álvaro Cartea, Kevin Murphy:
Martingale Posterior Neural Networks for Fast Sequential Decision Making. NeurIPS 2025 - [i8]Gerardo Duran-Martin:
Adaptive, Robust and Scalable Bayesian Filtering for Online Learning. CoRR abs/2505.07267 (2025) - [i7]Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Álvaro Cartea, Kevin Murphy:
Scalable Generalized Bayesian Online Neural Network Training for Sequential Decision Making. CoRR abs/2506.11898 (2025) - 2024
- [c3]Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Patrick Murphy:
Outlier-robust Kalman Filtering through Generalised Bayes. ICML 2024: 12138-12171 - [i6]Alberto Cabezas, Adrien Corenflos, Junpeng Lao, Rémi Louf, Antoine Carnec, Kaustubh Chaudhari, Reuben Cohn-Gordon, Jeremie Coullon, Wei Deng, Sam Duffield, Gerardo Duràn-Martín, Marcin Elantkowski, Dan Foreman-Mackey, Michele Gregori, Carlos Iguaran, Ravin Kumar, Martin Lysy, Kevin Murphy, Juan Camilo Orduz, Karm Patel, Xi Wang, Rob Zinkov:
BlackJAX: Composable Bayesian inference in JAX. CoRR abs/2402.10797 (2024) - [i5]Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Murphy:
Outlier-robust Kalman Filtering through Generalised Bayes. CoRR abs/2405.05646 (2024) - [i4]Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alexander Y. Shestopaloff, Kevin Murphy:
BONE: a unifying framework for Bayesian online learning in non-stationary environments. CoRR abs/2411.10153 (2024) - 2023
- [c2]Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Patrick Murphy:
Low-rank extended Kalman filtering for online learning of neural networks from streaming data. CoLLAs 2023: 1025-1071 - [i3]Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Murphy:
Low-rank extended Kalman filtering for online learning of neural networks from streaming data. CoRR abs/2305.19535 (2023) - [i2]Álvaro Cartea, Gerardo Duran-Martin, Leandro Sánchez-Betancourt:
Detecting Toxic Flow. CoRR abs/2312.05827 (2023) - 2022
- [c1]Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy:
Efficient Online Bayesian Inference for Neural Bandits. AISTATS 2022: 6002-6021 - 2021
- [i1]Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy:
Efficient Online Bayesian Inference for Neural Bandits. CoRR abs/2112.00195 (2021)
Coauthor Index
aka: Kevin Patrick Murphy
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