Miroslav Dudk
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
8
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLT | On the Hardness of Bandit Learning. | Nataly Brukhim, Aldo Pacchiano, Miroslav Dudk, Robert E. Schapire |
| 2025 | EDBT | FairnessEval: a Framework for Evaluating Fairness of Machine Learning Models. | Andrea Baraldi, Matteo Brucato, Miroslav Dudk, Francesco Guerra, Matteo Interlandi |
| 2024 | ICML | PcLast: Discovering Plannable Continuous Latent States. | Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan P. Molu, Miroslav Dudk, John Langford, Alex Lamb |
| 2022 | ICML | Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning. | Alberto Bietti, Chen-Yu Wei, Miroslav Dudk, John Langford, Zhiwei Steven Wu |
| 2021 | ICML | Interactive Learning from Activity Description. | Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudk, Patrick Shafto |
| 2020 | COLT | Gradient descent follows the regularization path for general losses. | Ziwei Ji, Miroslav Dudk, Robert E. Schapire, Matus Telgarsky |
| 2020 | ICML | Doubly robust off-policy evaluation with shrinkage. | Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudk |
| 2019 | CHI | Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need? | Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daum III, Miroslav Dudk, Hanna M. Wallach |
| 2019 | ICML | Fair Regression: Quantitative Definitions and Reduction-Based Algorithms. | Alekh Agarwal, Miroslav Dudk, Zhiwei Steven Wu |
| 2019 | ICML | Provably efficient RL with Rich Observations via Latent State Decoding. | Simon S. Du, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal, Miroslav Dudk, John Langford |
| 2018 | ICML | Hierarchical Imitation and Reinforcement Learning. | Hoang Minh Le, Nan Jiang, Alekh Agarwal, Miroslav Dudk, Yisong Yue, Hal Daum III |
| 2018 | ICML | A Reductions Approach to Fair Classification. | Alekh Agarwal, Alina Beygelzimer, Miroslav Dudk, John Langford, Hanna M. Wallach |
| 2018 | ICML | Practical Contextual Bandits with Regression Oracles. | Dylan J. Foster, Alekh Agarwal, Miroslav Dudk, Haipeng Luo, Robert E. Schapire |
| 2017 | FOCS | Oracle-Efficient Online Learning and Auction Design. | Miroslav Dudk, Nika Haghtalab, Haipeng Luo, Robert E. Schapire, Vasilis Syrgkanis, Jennifer Wortman Vaughan |
| 2017 | ICASSP | The group k-support norm for learning with structured sparsity. | Nikhil Rao, Miroslav Dudk, Zad Harchaoui |
| 2017 | ICML | Optimal and Adaptive Off-policy Evaluation in Contextual Bandits. | Yu-Xiang Wang, Alekh Agarwal, Miroslav Dudk |
| 2015 | COLT | Contextual Dueling Bandits. | Miroslav Dudk, Katja Hofmann, Robert E. Schapire, Aleksandrs Slivkins, Masrour Zoghi |
| 2015 | COLT | Convex Risk Minimization and Conditional Probability Estimation. | Matus Telgarsky, Miroslav Dudk |
| 2015 | UAI | Budget Constraints in Prediction Markets. | Nikhil R. Devanur, Miroslav Dudk, Zhiyi Huang, David M. Pennock |
| 2014 | COLT | Robust Multi-objective Learning with Mentor Feedback. | Alekh Agarwal, Ashwinkumar Badanidiyuru, Miroslav Dudk, Robert E. Schapire, Aleksandrs Slivkins |
| 2014 | UAI | Market Making with Decreasing Utility for Information. | Miroslav Dudk, Rafael M. Frongillo, Jennifer Wortman Vaughan |
| 2012 | CVPR | Large-scale image classification with trace-norm regularization. | Zad Harchaoui, Matthijs Douze, Mattis Paulin, Miroslav Dudk, Jrme Malick |
| 2012 | UAI | Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits. | Miroslav Dudk, Dumitru Erhan, John Langford, Lihong Li |
| 2011 | ICML | Doubly Robust Policy Evaluation and Learning. | Miroslav Dudk, John Langford, Lihong Li |
| 2011 | UAI | Efficient Optimal Learning for Contextual Bandits. | Miroslav Dudk, Daniel J. Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang |
| 2009 | UAI | A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games. | Miroslav Dudk, Geoffrey J. Gordon |
| 2009 | UAI | First-Order Mixed Integer Linear Programming. | Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudk |
| 2007 | ICML | Hierarchical maximum entropy density estimation. | Miroslav Dudk, David M. Blei, Robert E. Schapire |
| 2006 | COLT | Maximum Entropy Distribution Estimation with Generalized Regularization. | Miroslav Dudk, Robert E. Schapire |
| 2004 | COLT | Performance Guarantees for Regularized Maximum Entropy Density Estimation. | Miroslav Dudk, Steven J. Phillips, Robert E. Schapire |
| 2004 | ICML | A maximum entropy approach to species distribution modeling. | Steven J. Phillips, Miroslav Dudk, Robert E. Schapire |