Debmalya Mandal

70 papers A* 21A 12Journal 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback. CoRR Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2026	J	`jnl`	SP-Rank: A Dataset for Ranked Preferences with Secondary Information. CoRR Hadi Hosseini, Debmalya Mandal, Amrit Puhan
2025	A	`conf`	Corruption Robust Offline Reinforcement Learning with Human Feedback. AISTATS Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2025	J	`jnl`	Distributionally Robust Reinforcement Learning with Human Feedback. CoRR Debmalya Mandal, Paulius Sasnauskas, Goran Radanovic
2025	A	`conf`	Independent Learning in Performative Markov Potential Games. AISTATS Rilind Sahitaj, Paulius Sasnauskas, Yigit Yalin, Debmalya Mandal, Goran Radanovic
2025	J	`jnl`	Independent Learning in Performative Markov Potential Games. CoRR Rilind Sahitaj, Paulius Sasnauskas, Yigit Yalin, Debmalya Mandal, Goran Radanovic
2025	A*	`conf`	On Corruption-Robustness in Performative Reinforcement Learning. AAAI Vasilis Pollatos, Debmalya Mandal, Goran Radanovic
2025	J	`jnl`	On Corruption-Robustness in Performative Reinforcement Learning. CoRR Vasilis Pollatos, Debmalya Mandal, Goran Radanovic
2025	A	`conf`	Performative Reinforcement Learning with Linear Markov Decision Process. AISTATS Debmalya Mandal, Goran Radanovic
2025	A	`conf`	Policy Teaching via Data Poisoning in Learning from Human Preferences. AISTATS Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2025	J	`jnl`	Policy Teaching via Data Poisoning in Learning from Human Preferences. CoRR Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2025	J	`jnl`	Sparse Offline Reinforcement Learning with Corruption Robustness. CoRR Nam Phuong Tran, Andi Nika, Goran Radanovic, Long Tran-Thanh, Debmalya Mandal
2025	J	`jnl`	Strategyproof Reinforcement Learning from Human Feedback. CoRR Thomas Kleine Buening, Jiarui Gan, Debmalya Mandal, Marta Kwiatkowska
2025	A*	`conf`	Surprisingly Popular Voting with Concentric Rank-Order Models. WWW Hadi Hosseini, Debmalya Mandal, Amrit Puhan
2024	A*	`conf`	Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs. ICML Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal, Goran Radanovic
2024	J	`jnl`	Corruption Robust Offline Reinforcement Learning with Human Feedback. CoRR Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2024	A	`conf`	Corruption-Robust Offline Two-Player Zero-Sum Markov Games. AISTATS Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic
2024	J	`jnl`	Corruption-Robust Offline Two-Player Zero-Sum Markov Games. CoRR Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic
2024	A*	`conf`	Learning the Expected Core of Strictly Convex Stochastic Cooperative Games. NeurIPS Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
2024	J	`jnl`	Learning the Expected Core of Strictly Convex Stochastic Cooperative Games. CoRR Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
2024	A	`conf`	Performative Reinforcement Learning in Gradually Shifting Environments. UAI Ben Rank, Stelios Triantafyllou, Debmalya Mandal, Goran Radanovic
2024	J	`jnl`	Performative Reinforcement Learning in Gradually Shifting Environments. CoRR Ben Rank, Stelios Triantafyllou, Debmalya Mandal, Goran Radanovic
2024	J	`jnl`	Performative Reinforcement Learning with Linear Markov Decision Process. CoRR Debmalya Mandal, Goran Radanovic
2024	A*	`conf`	Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. ICML Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla
2024	J	`jnl`	Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. CoRR Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla
2024	J	`jnl`	Surprisingly Popular Voting for Concentric Rank-Order Models. CoRR Hadi Hosseini, Debmalya Mandal, Amrit Puhan
2024	A*	`conf`	Symmetric Linear Bandits with Hidden Symmetry. NeurIPS Nam Phuong Tran, The-Anh Ta, Debmalya Mandal, Long Tran-Thanh
2024	J	`jnl`	Symmetric Linear Bandits with Hidden Symmetry. CoRR Nam Phuong Tran, The-Anh Ta, Debmalya Mandal, Long Tran-Thanh
2024	A*	`conf`	The Surprising Effectiveness of SP Voting with Partial Preferences. NeurIPS Hadi Hosseini, Debmalya Mandal, Amrit Puhan
2024	J	`jnl`	The Surprising Effectiveness of SP Voting with Partial Preferences. CoRR Hadi Hosseini, Debmalya Mandal, Amrit Puhan
2023	J	`jnl`	Agent-Specific Effects. CoRR Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal, Goran Radanovic
2023	A	`conf`	Feature-based Individual Fairness in k-clustering. AAMAS Debajyoti Kar, Mert Kosan, Debmalya Mandal, Sourav Medya, Arlei Silva, Palash Dey, Swagato Sanyal
2023	A	`conf`	Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks. AAMAS Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla, Goran Radanovic
2023	J	`jnl`	Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks. CoRR Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla, Goran Radanovic
2023	A*	`conf`	Markov Decision Processes with Time-Varying Geometric Discounting. AAAI Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic
2023	J	`jnl`	Markov Decision Processes with Time-Varying Geometric Discounting. CoRR Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic
2023	A*	`conf`	Online Reinforcement Learning with Uncertain Episode Lengths. AAAI Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar
2023	J	`jnl`	Online Reinforcement Learning with Uncertain Episode Lengths. CoRR Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar
2023	A*	`conf`	Performative Reinforcement Learning. ICML Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic
2023	J	`jnl`	Sequential Principal-Agent Problems with Communication: Efficient Computation and Learning. CoRR Jiarui Gan, Rupak Majumdar, Debmalya Mandal, Goran Radanovic
2022	A	`conf`	Learning Tensor Representations for Meta-Learning. AISTATS Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal
2022	J	`jnl`	Learning Tensor Representations for Meta-Learning. CoRR Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal
2022	J	`jnl`	Performative Reinforcement Learning. CoRR Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic
2022	A*	`conf`	Sequential Blocked Matching. AAAI Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh
2022	J	`jnl`	Socially Fair Reinforcement Learning. CoRR Debmalya Mandal, Jiarui Gan
2021	J	`jnl`	Feature-based Individual Fairness in k-Clustering. CoRR Debajyoti Kar, Sourav Medya, Debmalya Mandal, Arlei Silva, Palash Dey, Swagato Sanyal
2021	J	`jnl`	Improving Teacher-Student Interactions in Online Educational Forums using a Markov Chain based Stackelberg Game Model. CoRR Rohith Dwarakanath Vallam, Priyanka Bhatt, Debmalya Mandal, Y. Narahari
2021	J	`jnl`	Meta-Learning with Graph Neural Networks: Methods and Applications. CoRR Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal
2021	J	`jnl`	MetaLearning with Graph Neural Networks: Methods and Applications. SIGKDD Explor. Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal
2021	J	`jnl`	Sequential Blocked Matching. CoRR Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh
2021	A*	`conf`	Surprisingly Popular Voting Recovers Rankings, Surprisingly! IJCAI Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi
2021	J	`jnl`	Surprisingly Popular Voting Recovers Rankings, Surprisingly! CoRR Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi
2020	A*	`conf`	Adversarial Blocking Bandits. NeurIPS Nick Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh
2020	A*	`conf`	Ensuring Fairness Beyond the Training Data. NeurIPS Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, Daniel J. Hsu
2020	J	`jnl`	Ensuring Fairness Beyond the Training Data. CoRR Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, Daniel Hsu
2020	A*	`conf`	Optimal Communication-Distortion Tradeoff in Voting. EC Debmalya Mandal, Nisarg Shah, David P. Woodruff
2020	J	`jnl`	Peer Prediction with Heterogeneous Users. ACM Trans. Economics and Comput. Arpit Agarwal, Debmalya Mandal, David C. Parkes, Nisarg Shah
2020	A*	`conf`	The Effectiveness of Peer Prediction in Long-Term Forecasting. AAAI Debmalya Mandal, Goran Radanovic, David C. Parkes
2019	A*	`conf`	Efficient and Thrifty Voting by Any Means Necessary. NeurIPS Debmalya Mandal, Ariel D. Procaccia, Nisarg Shah, David P. Woodruff
2019	J	`jnl`	Weighted Tensor Completion for Time-Series Causal Inference. CoRR Debmalya Mandal, David C. Parkes
2017	J	`jnl`	Calibrated Fairness in Bandits. CoRR Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes
2017	A*	`conf`	Peer Prediction with Heterogeneous Users. EC Arpit Agarwal, Debmalya Mandal, David C. Parkes, Nisarg Shah
2016	A*	`conf`	Correlated Voting. IJCAI Debmalya Mandal, David C. Parkes
2016	J	`jnl`	Peer Prediction with Heterogeneous Tasks. CoRR Debmalya Mandal, Matthew Leifer, David C. Parkes, Galen Pickard, Victor Shnayder
2015	A*	`conf`	A Stackelberg Game Approach for Incentivizing Participation in Online Educational Forums with Heterogeneous Student Population. AAAI Rohith Dwarakanath Vallam, Priyanka Bhatt, Debmalya Mandal, Y. Narahari
2015	A	`conf`	A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks. AAMAS Arpita Biswas, Shweta Jain, Debmalya Mandal, Y. Narahari
2015	A*	`conf`	Novel Mechanisms for Online Crowdsourcing with Unreliable, Strategic Agents. AAAI Praphul Chandra, Yadati Narahari, Debmalya Mandal, Prasenjit Dey
2015	A	`conf`	Profit Maximizing Prior-free Multi-unit Procurement Auctions with Capacitated Sellers. AAMAS Arupratan Ray, Debmalya Mandal, Yadati Narahari
2015	J	`jnl`	Profit Maximizing Prior-free Multi-unit Procurement Auctions with Capacitated Sellers. CoRR Arupratan Ray, Debmalya Mandal, Y. Narahari
2014	A	`conf`	A novel ex-post truthful mechanism for multi-slot sponsored search auctions. AAMAS Debmalya Mandal, Yadati Narahari