Debmalya Mandal

According to our database1, Debmalya Mandal authored at least 38 papers between 2014 and 2024.

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Bibliography

2024
The Surprising Effectiveness of SP Voting with Partial Preferences.
CoRR, 2024

Symmetric Linear Bandits with Hidden Symmetry.
CoRR, 2024

Performative Reinforcement Learning in Gradually Shifting Environments.
CoRR, 2024

Learning the Expected Core of Strictly Convex Stochastic Cooperative Games.
CoRR, 2024

Corruption Robust Offline Reinforcement Learning with Human Feedback.
CoRR, 2024

Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Corruption-Robust Offline Two-Player Zero-Sum Markov Games.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Agent-Specific Effects.
CoRR, 2023

Sequential Principal-Agent Problems with Communication: Efficient Computation and Learning.
CoRR, 2023

Performative Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Feature-based Individual Fairness in k-clustering.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Online Reinforcement Learning with Uncertain Episode Lengths.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Markov Decision Processes with Time-Varying Geometric Discounting.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Socially Fair Reinforcement Learning.
CoRR, 2022

Learning Tensor Representations for Meta-Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Sequential Blocked Matching.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
MetaLearning with Graph Neural Networks: Methods and Applications.
SIGKDD Explor., 2021

Improving Teacher-Student Interactions in Online Educational Forums using a Markov Chain based Stackelberg Game Model.
CoRR, 2021

Feature-based Individual Fairness in k-Clustering.
CoRR, 2021

Meta-Learning with Graph Neural Networks: Methods and Applications.
CoRR, 2021

Surprisingly Popular Voting Recovers Rankings, Surprisingly!
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Peer Prediction with Heterogeneous Users.
ACM Trans. Economics and Comput., 2020

Optimal Communication-Distortion Tradeoff in Voting.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Ensuring Fairness Beyond the Training Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Blocking Bandits.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Effectiveness of Peer Prediction in Long-Term Forecasting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Weighted Tensor Completion for Time-Series Causal Inference.
CoRR, 2019

Efficient and Thrifty Voting by Any Means Necessary.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017
Calibrated Fairness in Bandits.
CoRR, 2017

2016
Peer Prediction with Heterogeneous Tasks.
CoRR, 2016

Correlated Voting.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Profit Maximizing Prior-free Multi-unit Procurement Auctions with Capacitated Sellers.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

A Stackelberg Game Approach for Incentivizing Participation in Online Educational Forums with Heterogeneous Student Population.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Novel Mechanisms for Online Crowdsourcing with Unreliable, Strategic Agents.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A novel ex-post truthful mechanism for multi-slot sponsored search auctions.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014


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