A novel ex-post truthful mechanism for multi-slot sponsored search auctions. - Debmalya Mandal; Yadati Narahari (AAMAS, 2014)

Novel Mechanisms for Online Crowdsourcing with Unreliable, Strategic Agents. - Praphul Chandra; Yadati Narahari; Debmalya Mandal; Prasenjit Dey (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)

A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks. - Arpita Biswas; Shweta Jain 002; Debmalya Mandal; Y. Narahari (AAMAS, 2015)

Profit Maximizing Prior-free Multi-unit Procurement Auctions with Capacitated Sellers. - Arupratan Ray; Debmalya Mandal; Yadati Narahari (AAMAS, 2015)

Correlated Voting. - Debmalya Mandal; David C. Parkes (IJCAI, 2016)

Peer Prediction with Heterogeneous Tasks. - Debmalya Mandal; Matthew Leifer; David C. Parkes; Galen Pickard; Victor Shnayder (CoRR, 2016)

Calibrated Fairness in Bandits. - Yang Liu 018; Goran Radanovic; Christos Dimitrakakis; Debmalya Mandal; David C. Parkes (CoRR, 2017)

Efficient and Thrifty Voting by Any Means Necessary. - Debmalya Mandal; Ariel D. Procaccia; Nisarg Shah 001; David P. Woodruff (NeurIPS, 2019)

Weighted Tensor Completion for Time-Series Causal Inference. - Debmalya Mandal; David C. Parkes (CoRR, 2019)

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

Adversarial Blocking Bandits. - Nick Bishop; Hau Chan; Debmalya Mandal; Long Tran-Thanh (NeurIPS, 2020)

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

Optimal Communication-Distortion Tradeoff in Voting. - Debmalya Mandal; Nisarg Shah 001; David P. Woodruff (EC, 2020)

Peer Prediction with Heterogeneous Users. - Arpit Agarwal; Debmalya Mandal; David C. Parkes; Nisarg Shah 001 (ACM Trans. Economics and Comput., 2020)

Surprisingly Popular Voting Recovers Rankings, Surprisingly! - Hadi Hosseini; Debmalya Mandal; Nisarg Shah 001; Kevin Shi (IJCAI, 2021)

Meta-Learning with Graph Neural Networks: Methods and Applications. - Debmalya Mandal; Sourav Medya; Brian Uzzi; Charu Aggarwal 001 (CoRR, 2021)

Feature-based Individual Fairness in k-Clustering. - Debajyoti Kar; Sourav Medya; Debmalya Mandal; Arlei Silva; Palash Dey; Swagato Sanyal (CoRR, 2021)

Improving Teacher-Student Interactions in Online Educational Forums using a Markov Chain based Stackelberg Game Model. - Rohith Dwarakanath Vallam; Priyanka Bhatt; Debmalya Mandal; Y. Narahari (CoRR, 2021)

MetaLearning with Graph Neural Networks: Methods and Applications. - Debmalya Mandal; Sourav Medya; Brian Uzzi; Charu Aggarwal 001 (SIGKDD Explor., 2021)

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

Learning Tensor Representations for Meta-Learning. - Samuel Deng; Yilin Guo; Daniel Hsu 001; Debmalya Mandal (AISTATS, 2022)

Socially Fair Reinforcement Learning. - Debmalya Mandal; Jiarui Gan (CoRR, 2022)

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 (AAAI, 2023)

Feature-based Individual Fairness in k-clustering. - Debajyoti Kar; Mert Kosan; Debmalya Mandal; Sourav Medya; Arlei Silva; Palash Dey; Swagato Sanyal (AAMAS, 2023)

Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks. - Mohammad Mohammadi; Jonathan Nöther; Debmalya Mandal; Adish Singla; Goran Radanovic (AAMAS, 2023)

Performative Reinforcement Learning. - Debmalya Mandal; Stelios Triantafyllou; Goran Radanovic (ICML, 2023)

Sequential Principal-Agent Problems with Communication: Efficient Computation and Learning. - Jiarui Gan; Rupak Majumdar; Debmalya Mandal; Goran Radanovic (CoRR, 2023)

Agent-Specific Effects. - Stelios Triantafyllou; Aleksa Sukovic; Debmalya Mandal; Goran Radanovic (CoRR, 2023)

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

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

The Surprising Effectiveness of SP Voting with Partial Preferences. - Hadi Hosseini; Debmalya Mandal; Amrit Puhan (NeurIPS, 2024)

Symmetric Linear Bandits with Hidden Symmetry. - Nam Phuong Tran; The-Anh Ta; Debmalya Mandal; 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 001; Long Tran-Thanh (NeurIPS, 2024)

Performative Reinforcement Learning in Gradually Shifting Environments. - Ben Rank; Stelios Triantafyllou; Debmalya Mandal; Goran Radanovic (UAI, 2024)

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

Corruption Robust Offline Reinforcement Learning with Human Feedback. - Debmalya Mandal; Andi Nika; Parameswaran Kamalaruban; Adish Singla; 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 (AISTATS, 2025)

Independent Learning in Performative Markov Potential Games. - Rilind Sahitaj; Paulius Sasnauskas; Yigit Yalin; Debmalya Mandal; Goran Radanovic (AISTATS, 2025)

Surprisingly Popular Voting with Concentric Rank-Order Models. - Hadi Hosseini; Debmalya Mandal; Amrit Puhan (WWW, 2025)

Distributionally Robust Reinforcement Learning with Human Feedback. - Debmalya Mandal; Paulius Sasnauskas; Goran Radanovic (CoRR, 2025)

Strategyproof Reinforcement Learning from Human Feedback. - Thomas Kleine Buening; Jiarui Gan; Debmalya Mandal; Marta Kwiatkowska (CoRR, 2025)