Doubly Robust Policy Evaluation and Learning
Lihong Li , John Langford , Miroslav Dud k
international conference on machine learning 1097 -1104
599
2011
Reconstruction from subsequences
Miroslav Dudı́k , Leonard J. Schulman
Journal of Combinatorial Theory, Series A 103 ( 2) 337 -348
63
2003
Oracle-efficient Online Learning and Auction Design
Miroslav Dudíte;k , Nika Haghtalab , Haipeng Luo , Robert E. Schapire
Journal of the ACM 67 ( 5) 1 -57
2020
Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits
Miroslav Dudık , Dumitru Erhan , John Langford , Lihong Li
UAI 2012
33
2012
Fairness in AI Systems: From Social Context to Practice using Fairlearn
Triveni Gandhi , Manojit Nandi , Miroslav Dudık , Hanna Wallach
Tutorial presented at the 20th annual Scientific Computing with Python Conference (Scipy 2021), Virtual Event
2
2021
Design and Implementation of Combinatorial Prediction Markets
Sébastien Lahaie , Miroslav Dudık
2016
Townsend Peterson, Steven J
Jane Elith , Catherine H Graham , Robert P Anderson , Miroslav Dudık
Phillips, Karen Richardson, Ricardo Scachetti-Pereira, Robert E. Schapire, Jorge Soberón, Stephen Williams, Mary S. Wisz, and Niklaus E. Zimmermann. Novel methods improve prediction of species’ distribution from occurrence data. Ecography 29 ( 2) 129 -151
17
2006
Contextual bandit learning under the realizability assumption
Alekh Agarwal , Miroslav Dudık , Satyen Kale , John Langford
15th Intl. Conf. on Artificial Intelligence and Statistics (AISTATS)
4
2012
Oracle-efficient learning and auction design
Miroslav Dudık , Nika Haghtalab , Haipeng Luo , Robert E Schapire
arXiv preprint arXiv:1611.01688
2
2016
Alexander A. Davydov, Stefano Marcugini, and Fernanda Pambianco. On
Katrina J Geertsema , Kevin N Vander Meulen , Patricia Hersh , Simon R Blackburn
Journal of Combinatorial Theory, Series A 103 ( 1)
2003
A Combinatorial Prediction Market for the US Elections
MIROSLAV DUDÍK , SEBASTIEN LAHAIE , DAVID M PENNOCK , DAVID ROTHSCHILD
EC 2013
17
2013
CARROLL, RAYMOND J. Estimating the Distribution of Di-etary Consumption Patterns, 2–8 CARROLL, RAYMOND J. Reply to the Discussion of “Esti-mating the Distribution of Dietary Consumption Pat-terns,” 103–103
ANDRIY DERKACH , JERRY F LAWLESS , LEI SUN , MIROSLAV DUDÍK
rem 512 528 -528
Robust multi-objective learning with mentor feedback
Robert E. Schapire , Ashwinkumar Badanidiyuru , Miroslav Dudík , Aleksandrs Slivkins
conference on learning theory 35 726 -741
2014
Generative and Discriminative Learning with Unknown Labeling Bias
Steven J. Phillips , Miroslav Dudík
neural information processing systems 21 401 -408
8
2008
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling
Robert E. Schapire , Miroslav Dudík , Steven J. Phillips
Journal of Machine Learning Research 8 ( 44) 1217 -1260
169
2007
Correcting sample selection bias in maximum entropy density estimation
Robert E Schapire , Miroslav Dudík , Steven J. Phillips
neural information processing systems 323 -330
145
2005
Lifted coordinate descent for learning with trace-norm regularization
Zaïd Harchaoui , Miroslav Dudík , Jérôme Malick
international conference on artificial intelligence and statistics 22 327 -336
124
2012
Hierarchical Imitation and Reinforcement Learning
Hal Daumé , Hal Daumé , Miroslav Dudík , Yisong Yue
arXiv: Learning
158
2018
Provably efficient RL with Rich Observations via Latent State Decoding
Miroslav Dudík , Akshay Krishnamurthy , Alekh Agarwal , John Langford
international conference on machine learning 1665 -1674
162
2019
Off-policy evaluation for slate recommendation
Miroslav Dudík , Adith Swaminathan , Akshay Krishnamurthy , Alekh Agarwal
neural information processing systems 30 3632 -3642
74
2017