Miroslav Dudík

21 papers · 2007–2025 · 6 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (47) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🏆 Keyword Champion 🧭 Keyword Pioneer 📈 Trend Setter 🔥 Unstoppable · Bronze 🚀 Conference Pioneer 💎 Century Club · Bronze 🗃️ Keyword Collector (112)

Venues

ICML (8) COLT (5) JMLR (3) AISTATS (2) NeurIPS (2) SemEval (1)

Top co-authors

Alekh Agarwal (8) John Langford (5) Robert Schapire (5) Robert E. Schapire (4) Nan Jiang (2) Akshay Krishnamurthy (2) Matus Telgarsky (2) Aleksandrs Slivkins (2) Steven J. Phillips (2) Jérôme Malick (1)

Research topics

Machine Learning (20) Optimization & Theory (11) Artificial Intelligence (8) Core Methods (8) Learning Types (8) Mathematics & Optimization (5) Application Areas (5) Optimization (5) Core AI (4) Reinforcement Learning (3) Learning Paradigms (3) Methods (3) Deep Learning (1) Bayesian & Probabilistic · Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1)

Keywords

contextual bandit (4) regret bound (4) convex optimization (2) empirical risk minimization (2) reinforcement learning (2) online learning (2) imitation learning (2) species distribution modeling (2) off-policy evaluation (1) binary classification (1) multi-task learning (1) maximum entropy (1) large-scale optimization (1) stochastic optimization (1) interactive learning (1) distributed learning (1) sample efficiency (1) sequential decision making (1) density estimation (1) decision making (1)

Papers

On the Hardness of Bandit Learning COLT 2025 SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation NeurIPS 2024 Fairlearn: Assessing and Improving Fairness of AI Systems JMLR 2023 Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning ICML 2022 Interactive Learning from Activity Description ICML 2021 Doubly robust off-policy evaluation with shrinkage ICML 2020 Gradient descent follows the regularization path for general losses COLT 2020 Fair Regression: Quantitative Definitions and Reduction-Based Algorithms ICML 2019 Provably efficient RL with Rich Observations via Latent State Decoding ICML 2019 A Reductions Approach to Fair Classification ICML 2018 Hierarchical Imitation and Reinforcement Learning ICML 2018 Practical Contextual Bandits with Regression Oracles ICML 2018 Contextual Dueling Bandits COLT 2015 Convex Risk Minimization and Conditional Probability Estimation COLT 2015 A Reliable Effective Terascale Linear Learning System JMLR 2014 Robust Multi-objective Learning with Mentor Feedback COLT 2014 Contextual Bandit Learning with Predictable Rewards AISTATS 2012 Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012 Generative and Discriminative Learning with Unknown Labeling Bias NeurIPS 2008 Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling JMLR 2007 PU-BCD: Exponential Family Models for the Coarse- and Fine-Grained All-Words Tasks SemEval 2007