Pratik Gajane - RankMe

34 papers A* 5A 2B 2Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Best-of-Both-Worlds Multi-Dueling Bandits: Unified Algorithms for Stochastic and Adversarial Preferences under Condorcet and Borda Objectives. CoRR S. Akash, Pratik Gajane, Jawar Singh
2026	J	`jnl`	Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare. CoRR Nitish Nagesh, Elahe Khatibi, Thomas Hughes, Mahdi Bagheri, Pratik Gajane, Amir M. Rahmani
2024	J	`jnl`	Adversarial Multi-dueling Bandits. CoRR Pratik Gajane
2024	J	`jnl`	Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain. CoRR Pratik Gajane, Sean Newman, John D. Piette
2024	—	`conf`	Multi-armed Bandits with Generalized Temporally-Partitioned Rewards. IDA (1) Ronald C. van den Broek, Rik Litjens, Tobias Sagis, Nina Verbeeke, Pratik Gajane
2023	A*	`conf`	Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms. IJCAI Pratik Gajane, Peter Auer, Ronald Ortner
2023	J	`jnl`	Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning. CoRR Jiong Li, Pratik Gajane
2023	B	`conf`	LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models. IDA Dennis Collaris, Pratik Gajane, Joost Jorritsma, Jarke J. van Wijk, Mykola Pechenizkiy
2023	J	`jnl`	Local Differential Privacy for Sequential Decision Making in a Changing Environment. CoRR Pratik Gajane
2023	J	`jnl`	Multi-Armed Bandits with Generalized Temporally-Partitioned Rewards. CoRR Ronald C. van den Broek, Rik Litjens, Tobias Sagis, Luc Siecker, Nina Verbeeke, Pratik Gajane
2023	J	`jnl`	Provably Efficient Exploration in Constrained Reinforcement Learning: Posterior Sampling Is All You Need. CoRR Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein
2023	—	`conf`	WeHeart: A Personalized Recommendation Device for Physical Activity Encouragement and Preventing "Cold Start" in Cardiac Rehabilitation. INTERACT (3) Rosa Van Tuijn, Tianqin Lu, Emma Driesse, Koen Franken, Pratik Gajane, Emilia I. Barakova
2023	—	`conf`	WeHeart: A Personalized Recommendation Device for Physical Activity Encouragement in Cardiac Rehabilitation. HHAI Rosa Van Tuijn, Tianqin Lu, Emma Driesse, Koen Franken, Pratik Gajane, Emilia I. Barakova
2022	J	`jnl`	An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning. CoRR Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein
2022	J	`jnl`	Generalizing distribution of partial rewards for multi-armed bandits with temporally-partitioned rewards. CoRR Ronald C. van den Broek, Rik Litjens, Tobias Sagis, Luc Siecker, Nina Verbeeke, Pratik Gajane
2022	J	`jnl`	Survey on Fair Reinforcement Learning: Theory and Practice. CoRR Pratik Gajane, Akrati Saxena, Maryam Tavakol, George Fletcher, Mykola Pechenizkiy
2022	A*	`conf`	The Impact of Batch Learning in Stochastic Linear Bandits. ICDM Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein
2022	J	`jnl`	The Impact of Batch Learning in Stochastic Linear Bandits. CoRR Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein
2021	A	`conf`	Gambler Bandits and the Regret of Being Ruined. AAMAS Filipo Studzinski Perotto, Sattar Vakili, Pratik Gajane, Yaser Faghan, Mathieu Bourgais
2021	J	`jnl`	The Impact of Batch Learning in Stochastic Bandits. CoRR Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein
2019	A*	`conf`	Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information. COLT Peter Auer, Yifang Chen, Pratik Gajane, Chung-wei Lee, Haipeng Luo, Ronald Ortner, Chen-Yu Wei
2019	A*	`conf`	Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes. COLT Peter Auer, Pratik Gajane, Ronald Ortner
2019	J	`jnl`	Autonomous exploration for navigating in non-stationary CMPs. CoRR Pratik Gajane, Ronald Ortner, Peter Auer, Csaba Szepesvári
2019	A	`conf`	Variational Regret Bounds for Reinforcement Learning. UAI Ronald Ortner, Pratik Gajane, Peter Auer
2019	J	`jnl`	Variational Regret Bounds for Reinforcement Learning. CoRR Pratik Gajane, Ronald Ortner, Peter Auer
2018	J	`jnl`	A Sliding-Window Algorithm for Markov Decision Processes with Arbitrarily Changing Rewards and Transitions. CoRR Pratik Gajane, Ronald Ortner, Peter Auer
2018	B	`conf`	Corrupt Bandits for Preserving Local Privacy. ALT Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann
2017	—	`—`	Bandits Multi-bras avec retour d'information non-conventionnelle. (Multi-Armed Bandits with Unconventional Feedback). Pratik Gajane
2017	J	`jnl`	Corrupt Bandits for Privacy Preserving Input. CoRR Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann
2017	J	`jnl`	Counterfactual Learning for Machine Translation: Degeneracies and Solutions. CoRR Carolin Lawrence, Pratik Gajane, Stefan Riezler
2017	J	`jnl`	On formalizing fairness in prediction with machine learning. CoRR Pratik Gajane
2016	J	`jnl`	A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits. CoRR Pratik Gajane, Tanguy Urvoy, Fabrice Clérot
2015	A*	`conf`	A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits. ICML Pratik Gajane, Tanguy Urvoy, Fabrice Clérot
2015	J	`jnl`	Utility-based Dueling Bandits as a Partial Monitoring Game. CoRR Pratik Gajane, Tanguy Urvoy