Debmalya Mandal

Parameswaran Kamalaruban

Georgios Tzannetos

Adish Singla

CoRR, 2024

Performative Reinforcement Learning in Gradually Shifting Environments.

[BibT_eX]

[DOI]

Ben Rank

Stelios Triantafyllou

CoRR, 2024

Learning the Expected Core of Strictly Convex Stochastic Cooperative Games.

[BibT_eX]

[DOI]

CoRR, 2024

Corruption Robust Offline Reinforcement Learning with Human Feedback.

[BibT_eX]

[DOI]

Andi Nika

Parameswaran Kamalaruban

Adish Singla

CoRR, 2024

2023

Agent-Specific Effects.

[BibT_eX]

[DOI]

Stelios Triantafyllou

Aleksa Sukovic

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Performative Reinforcement Learning.

[BibT_eX]

[DOI]

Stelios Triantafyllou

Proceedings of the International Conference on Machine Learning, 2023

Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Feature-based Individual Fairness in k-clustering.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Online Reinforcement Learning with Uncertain Episode Lengths.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Markov Decision Processes with Time-Varying Geometric Discounting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Socially Fair Reinforcement Learning.

[BibT_eX]

[DOI]

Rohith Dwarakanath Vallam

Jiarui Gan

CoRR, 2022

Learning Tensor Representations for Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Sequential Blocked Matching.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

MetaLearning with Graph Neural Networks: Methods and Applications.

[BibT_eX]

[DOI]

SIGKDD Explor., 2021

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

[BibT_eX]

[DOI]

Priyanka Bhatt

Y. Narahari

CoRR, 2021

Feature-based Individual Fairness in k-Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Surprisingly Popular Voting Recovers Rankings, Surprisingly!

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Peer Prediction with Heterogeneous Users.

[BibT_eX]

[DOI]

ACM Trans. Economics and Comput., 2020

Optimal Communication-Distortion Tradeoff in Voting.

[BibT_eX]

[DOI]

Nisarg Shah

David P. Woodruff

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Ensuring Fairness Beyond the Training Data.

[BibT_eX]

[DOI]

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

Adversarial Blocking Bandits.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Weighted Tensor Completion for Time-Series Causal Inference.

[BibT_eX]

[DOI]

CoRR, 2019

Efficient and Thrifty Voting by Any Means Necessary.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Calibrated Fairness in Bandits.

[BibT_eX]

[DOI]

Yang Liu

Christos Dimitrakakis

CoRR, 2017

2016

Peer Prediction with Heterogeneous Tasks.

[BibT_eX]

[DOI]

CoRR, 2016

Correlated Voting.

[BibT_eX]

[DOI]

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

2015

Profit Maximizing Prior-free Multi-unit Procurement Auctions with Capacitated Sellers.

[BibT_eX]

[DOI]

Arupratan Ray

Rohith Dwarakanath Vallam

Yadati Narahari

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Priyanka Bhatt

Y. Narahari

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Novel Mechanisms for Online Crowdsourcing with Unreliable, Strategic Agents.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

A novel ex-post truthful mechanism for multi-slot sponsored search auctions.

[BibT_eX]

[DOI]