Pratik Gajane

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 29

Top Venues

Charles de Gaulle University - Lille III, France (PHD)

Education History

Charles de Gaulle University - Lille III, France

PHD

Publications

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

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Publication Activity (10 Years)

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Pratik Gajane