Dudík, Miroslav

33 publications

COLT 2025 On the Hardness of Bandit Learning Nataly Brukhim, Aldo Pacchiano, Miroslav Dudik, Robert Schapire

NeurIPS 2024 SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluation Mikhail Khodak, Lester Mackey, Alexandra Chouldechova, Miroslav Dudík

MLOSS 2023 Fairlearn: Assessing and Improving Fairness of AI Systems Hilde Weerts, Miroslav Dudík, Richard Edgar, Adrin Jalali, Roman Lutz, Michael Madaio

ICML 2022 Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning Alberto Bietti, Chen-Yu Wei, Miroslav Dudik, John Langford, Steven Wu

ICML 2021 Interactive Learning from Activity Description Khanh X Nguyen, Dipendra Misra, Robert Schapire, Miroslav Dudik, Patrick Shafto

ICML 2020 Doubly Robust Off-Policy Evaluation with Shrinkage Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudik

COLT 2020 Gradient Descent Follows the Regularization Path for General Losses Ziwei Ji, Miroslav Dudík, Robert E. Schapire, Matus Telgarsky

ICML 2019 Fair Regression: Quantitative Definitions and Reduction-Based Algorithms Alekh Agarwal, Miroslav Dudik, Zhiwei Steven Wu

ICML 2019 Provably Efficient RL with Rich Observations via Latent State Decoding Simon Du, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal, Miroslav Dudik, John Langford

ICML 2018 A Reductions Approach to Fair Classification Alekh Agarwal, Alina Beygelzimer, Miroslav Dudik, John Langford, Hanna Wallach

ICML 2018 Hierarchical Imitation and Reinforcement Learning Hoang Le, Nan Jiang, Alekh Agarwal, Miroslav Dudik, Yisong Yue, Hal Daumé

ICML 2018 Practical Contextual Bandits with Regression Oracles Dylan Foster, Alekh Agarwal, Miroslav Dudik, Haipeng Luo, Robert Schapire

UAI 2015 Budget Constraints in Prediction Markets Nikhil R. Devanur, Miroslav Dudík, Zhiyi Huang, David M. Pennock

COLT 2015 Contextual Dueling Bandits Miroslav Dudík, Katja Hofmann, Robert E. Schapire, Aleksandrs Slivkins, Masrour Zoghi

COLT 2015 Convex Risk Minimization and Conditional Probability Estimation Matus Telgarsky, Miroslav Dudík

JMLR 2014 A Reliable Effective Terascale Linear Learning System Alekh Agarwal, Oliveier Chapelle, Miroslav Dudík, John Langford

UAI 2014 Market Making with Decreasing Utility for Information Miroslav Dudík, Rafael M. Frongillo, Jennifer Wortman Vaughan

COLT 2014 Robust Multi-Objective Learning with Mentor Feedback Alekh Agarwal, Ashwinkumar Badanidiyuru, Miroslav Dudík, Robert E. Schapire, Aleksandrs Slivkins

AISTATS 2012 Contextual Bandit Learning with Predictable Rewards Alekh Agarwal, Miroslav Dudik, Satyen Kale, John Langford, Robert Schapire

CVPR 2012 Large-Scale Image Classification with Trace-Norm Regularization Zaïd Harchaoui, Matthijs Douze, Mattis Paulin, Miroslav Dudík, Jérôme Malick

AISTATS 2012 Lifted Coordinate Descent for Learning with Trace-Norm Regularization Miroslav Dudik, Zaid Harchaoui, Jerome Malick

UAI 2012 Sample-Efficient Nonstationary Policy Evaluation for Contextual Bandits Miroslav Dudík, Dumitru Erhan, John Langford, Lihong Li

ICML 2011 Doubly Robust Policy Evaluation and Learning Miroslav Dudík, John Langford, Lihong Li

UAI 2011 Efficient Optimal Learning for Contextual Bandits Miroslav Dudík, Daniel J. Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang

UAI 2009 A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games Miroslav Dudík, Geoffrey J. Gordon

UAI 2009 First-Order Mixed Integer Linear Programming Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík

NeurIPS 2008 Generative and Discriminative Learning with Unknown Labeling Bias Steven J. Phillips, Miroslav Dudík

ICML 2007 Hierarchical Maximum Entropy Density Estimation Miroslav Dudík, David M. Blei, Robert E. Schapire

JMLR 2007 Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling Miroslav Dudík, Steven J. Phillips, Robert E. Schapire

COLT 2006 Maximum Entropy Distribution Estimation with Generalized Regularization Miroslav Dudík, Robert E. Schapire

NeurIPS 2005 Correcting Sample Selection Bias in Maximum Entropy Density Estimation Miroslav Dudík, Steven J. Phillips, Robert E. Schapire

ICML 2004 A Maximum Entropy Approach to Species Distribution Modeling Steven J. Phillips, Miroslav Dudík, Robert E. Schapire

COLT 2004 Performance Guarantees for Regularized Maximum Entropy Density Estimation Miroslav Dudík, Steven J. Phillips, Robert E. Schapire