Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments.

Diane Lambert Guillaume W. Basse Hossein Azari Soufiani Diane Lambert Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments. 1412-1420 2016 AISTATS http://proceedings.mlr.press/v51/basse16b.html conf/aistats/2016 db/conf/aistats/aistats2016.html#BasseSL16

Guillaume W. Basse Hossein Azari Soufiani Diane Lambert Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments. 2016 abs/1605.09171 CoRR http://arxiv.org/abs/1605.09171 db/journals/corr/corr1605.html#BasseSL16

Yunting Sun Diane Lambert Makoto Uchida Nicolas Remy Collaboration in the cloud at Google. 239-240 2014 WebSci https://doi.org/10.1145/2615569.2615637 conf/websci/2014 db/conf/websci/websci2014.html#SunLUR14 David Chan Rong Ge Ori Gershony Tim Hesterberg Diane Lambert Evaluating online ad campaigns in a pipeline: causal models at scale. 7-16 2010 KDD https://doi.org/10.1145/1835804.1835809 conf/kdd/2010 db/conf/kdd/kdd2010.html#ChanGGHL10 Diane Lambert Daryl Pregibon Online effects of offline ads. 10-17 2008 AdKDD@KDD https://doi.org/10.1145/1517472.1517474 conf/adkdd/2008 db/conf/adkdd/adkdd2008.html#LambertP08

Diane Lambert Daryl Pregibon More bang for their bucks: assessing new features for online advertisers. 100-107 2007 9 SIGKDD Explor. 2 https://doi.org/10.1145/1345448.1345472 db/journals/sigkdd/sigkdd9.html#LambertP07

Aiyou Chen Cristina Harko Diane Lambert Phil Whiting An algorithm for fast, model-free tracking indoors. 48-58 2007 11 ACM SIGMOBILE Mob. Comput. Commun. Rev. 3 https://doi.org/10.1145/1317425.1317431 db/journals/sigmobile/sigmobile11.html#ChenHLW07

Arumugam Buvaneswari John M. Graybeal David A. James Diane Lambert Chuanhai Liu Michael MacDonald A Statistical View of the Transient Signals That Support a Wireless Call. 305-317 2007 49 Technometrics 3 https://doi.org/10.1198/004017007000000263 db/journals/technometrics/technometrics49.html#BuvaneswariGJLL07

Diane Lambert Daryl Pregibon More bang for their bucks: assessing new features for online advertisers. 7-15 2007 AdKDD@KDD https://doi.org/10.1145/1348599.1348601 conf/adkdd/2007 db/conf/adkdd/adkdd2007.html#LambertP07 Joydeep Ghosh Diane Lambert David B. Skillicorn Jaideep Srivastava Proceedings of the Sixth SIAM International Conference on Data Mining, April 20-22, 2006, Bethesda, MD, USA SDM SIAM 2006 978-0-89871-611-5 978-1-61197-276-4 https://doi.org/10.1137/1.9781611972764 db/conf/sdm/sdm2006.html Diane Lambert José C. Pinheiro Mining a stream of transactions for customer patterns. 305-310 2001 conf/kdd/2001 KDD https://doi.org/10.1145/502512.502556 db/conf/kdd/kdd2001.html#LambertP01 Diane Lambert What Use is Statistics for Massive Data? 54-62 2000 conf/dmkd/2000 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery db/conf/dmkd/dmkd2000.html#Lambert00 Fei Chen Diane Lambert José C. Pinheiro Incremental quantile estimation for massive tracking. 516-522 2000 conf/kdd/2000 KDD https://doi.org/10.1145/347090.347195 db/conf/kdd/kdd2000.html#ChenLP00 Guillaume W. Basse Arumugam Buvaneswari David Chan Aiyou Chen Fei Chen Rong Ge Ori Gershony Joydeep Ghosh John M. Graybeal Cristina Harko Tim Hesterberg David A. James Chuanhai Liu Michael MacDonald José C. Pinheiro Daryl Pregibon Nicolas Remy David B. Skillicorn Hossein Azari Soufiani Jaideep Srivastava Yunting Sun Makoto Uchida Phil Whiting