Ganesh, Sumitra

23 publications

AISTATS 2025 Approximate Equivariance in Reinforcement Learning Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L.S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters

ICLR 2025 Collab: Controlled Decoding Using Mixture of Agents for LLM Alignment Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh

AAAI 2025 Decentralized Convergence to Equilibrium Prices in Trading Networks Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic, Sujay Bhatt, Alec Koppel, Sumitra Ganesh, Paul W. Goldberg

ICLR 2025 GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh

AISTATS 2025 Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh

NeurIPS 2025 Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt, Leo Ardon, Sumitra Ganesh, Alec Koppel

ICLRW 2025 Prune 'n Predict: Optimizing LLM Decision-Making with Conformal Prediction Harit Vishwakarma, Thomas Cook, Alan Mishler, Niccolo Dalmasso, Natraj Raman, Sumitra Ganesh

ICML 2025 Prune ’n Predict: Optimizing LLM Decision-Making with Conformal Prediction Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolo Dalmasso, Natraj Raman, Sumitra Ganesh

ICMLW 2024 A Policy Optimization Approach to the Solution of Unregularized Mean Field Games Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh

NeurIPSW 2024 ADAGE-Diff: Two-Level Adaptive Agent Based Modelling for Differentiable Policy Design Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon

ICLR 2024 Efficient Inverse Multiagent Learning Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh

NeurIPSW 2024 Improving Decision-Making in Open-World Agents with Conformal Prediction and Monty Hall Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolo Dalmasso, Natraj Raman, Sumitra Ganesh

ICMLW 2024 In-Context Learning with Topological Information for LLM-Based Knowledge Graph Completion Udari Madhushani Sehwag, Kassiani Papasotiriou, Jared Vann, Sumitra Ganesh

ICML 2024 Information-Directed Pessimism for Offline Reinforcement Learning Alec Koppel, Sujay Bhatt, Jiacheng Guo, Joe Eappen, Mengdi Wang, Sumitra Ganesh

TMLR 2024 Regularized Proportional Fairness Mechanism for Resource Allocation Without Money Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh

NeurIPSW 2024 Scalable Representation Learning for Multimodal Tabular Transactions Natraj Raman, Sumitra Ganesh, Manuela Veloso

NeurIPSW 2023 Active Learning with Missing Not at Random Outcomes Alan Mishler, Mohsen Ghassemi, Alec Koppel, Sumitra Ganesh

ICLR 2023 Certifiably Robust Policy Learning Against Adversarial Multi-Agent Communication Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang

NeurIPSW 2023 O3D: Offline Data-Driven Discovery and Distillation for Sequential Decision-Making with Large Language Models Yuchen Xiao, Yanchao Sun, Mengda Xu, Udari Madhushani, Jared Vann, Deepeka Garg, Sumitra Ganesh

ICML 2022 Consensus Multiplicative Weights Update: Learning to Learn Using Projector-Based Game Signatures Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh

NeurIPS 2021 Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs Thomas Spooner, Nelson Vadori, Sumitra Ganesh

NeurIPSW 2021 Mixture of Basis for Interpretable Continual Learning with Distribution Shifts Mengda Xu, Sumitra Ganesh, Pranay Pasula

NeurIPS 2020 Calibration of Shared Equilibria in General Sum Partially Observable Markov Games Nelson Vadori, Sumitra Ganesh, Prashant Reddy, Manuela M. Veloso