Mandal, Debmalya

28 publications

AISTATS 2025 Corruption Robust Offline Reinforcement Learning with Human Feedback Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic

AISTATS 2025 Independent Learning in Performative Markov Potential Games Rilind Sahitaj, Paulius Sasnauskas, Yiğit Yalın, Debmalya Mandal, Goran Radanovic

AAAI 2025 On Corruption-Robustness in Performative Reinforcement Learning Vasilis Pollatos, Debmalya Mandal, Goran Radanovic

AISTATS 2025 Performative Reinforcement Learning with Linear Markov Decision Process Debmalya Mandal, Goran Radanovic

AISTATS 2025 Policy Teaching via Data Poisoning in Learning from Human Preferences Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic

NeurIPS 2025 Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies Jiarui Gan, R Majumdar, Debmalya Mandal, Goran Radanovic

NeurIPS 2025 Strategyproof Reinforcement Learning from Human Feedback Thomas Kleine Buening, Jiarui Gan, Debmalya Mandal, Marta Kwiatkowska

ICML 2024 Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal, Goran Radanovic

AISTATS 2024 Corruption-Robust Offline Two-Player Zero-Sum Markov Games Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic

ICMLW 2024 Learning Stable Allocations of Strictly Convex Stochastic Cooperative Games Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh

NeurIPS 2024 Learning the Expected Core of Strictly Convex Stochastic Cooperative Games Nam Phuong Tran, The Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh

UAI 2024 Performative Reinforcement Learning in Gradually Shifting Environments Ben Rank, Stelios Triantafyllou, Debmalya Mandal, Goran Radanovic

ICML 2024 Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla

NeurIPS 2024 Symmetric Linear Bandits with Hidden Symmetry Nam Phuong Tran, The Anh Ta, Debmalya Mandal, Long Tran-Thanh

NeurIPS 2024 The Surprising Effectiveness of SP Voting with Partial Preferences Hadi Hosseini, Debmalya Mandal, Amrit Puhan

AAAI 2023 Markov Decision Processes with Time-Varying Geometric Discounting Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic

AAAI 2023 Online Reinforcement Learning with Uncertain Episode Lengths Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar

ICML 2023 Performative Reinforcement Learning Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic

AISTATS 2022 Learning Tensor Representations for Meta-Learning Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal

AAAI 2022 Sequential Blocked Matching Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh

IJCAI 2021 Surprisingly Popular Voting Recovers Rankings, Surprisingly! Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi

NeurIPS 2020 Adversarial Blocking Bandits Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh

NeurIPS 2020 Ensuring Fairness Beyond the Training Data Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette Wing, Daniel J. Hsu

AAAI 2020 The Effectiveness of Peer Prediction in Long-Term Forecasting Debmalya Mandal, Goran Radanovic, David C. Parkes

NeurIPS 2019 Efficient and Thrifty Voting by Any Means Necessary Debmalya Mandal, Ariel D Procaccia, Nisarg Shah, David Woodruff

IJCAI 2016 Correlated Voting Debmalya Mandal, David C. Parkes

AAAI 2015 A Stackelberg Game Approach for Incentivizing Participation in Online Educational Forums with Heterogeneous Student Population Rohith Dwarakanath Vallam, Priyanka Bhatt, Debmalya Mandal, Y. Narahari

AAAI 2015 Novel Mechanisms for Online Crowdsourcing with Unreliable, Strategic Agents Praphul Chandra, Yadati Narahari, Debmalya Mandal, Prasenjit Dey