Sumitra Ganesh

73 papers A* 10A 6Misc 2Journal 46Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Regularized Actor-Critic Algorithm for Bi-Level Reinforcement Learning.
CoRR
Sihan Zeng, Sujay Bhatt, Sumitra Ganesh, Alec Koppel
2026 J jnl
No One Size Fits All: QueryBandits for Hallucination Mitigation.
CoRR
Nicole Cho, William Watson, Alec Koppel, Sumitra Ganesh, Manuela Veloso
2026 — conf
TASER: Table Agents for Schema-guided Extraction and Recommendation.
EACL (Industry Track)
Nicole Cho, Kirsty Fielding, William Watson, Sumitra Ganesh, Manuela Veloso
2026 — conf
What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance.
EACL (Findings)
William Watson, Nicole Cho, Sumitra Ganesh, Manuela Veloso
2026 J jnl
What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance.
CoRR
William Watson, Nicole Cho, Sumitra Ganesh, Manuela Veloso
2025 A conf
ADAGE: A Generic Two-layer Framework for Adaptive Agent based Modelling.
AAMAS
Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon
2025 J jnl
ADAGE: A generic two-layer framework for adaptive agent based modelling.
CoRR
Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon
2025 J jnl
AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration.
CoRR
Harish Karthikeyan, Yue Guo, Leo de Castro, Antigoni Polychroniadou, Leo Ardon, Udari Madhushani Sehwag, Sumitra Ganesh, Manuela Veloso
2025 J jnl
AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration.
IACR Cryptol. ePrint Arch.
Harish Karthikeyan, Yue Guo, Leo de Castro, Antigoni Polychroniadou, Leo Ardon, Udari Madhushani Sehwag, Sumitra Ganesh, Manuela Veloso
2025 A conf
Approximate Equivariance in Reinforcement Learning.
AISTATS
Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L. S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters
2025 J jnl
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering.
CoRR
Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Sumitra Ganesh, Manuela Veloso
2025 A* conf
Collab: Controlled Decoding using Mixture of Agents for LLM Alignment.
ICLR
Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh
2025 J jnl
Collab: Controlled Decoding using Mixture of Agents for LLM Alignment.
CoRR
Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh
2025 J jnl
Continual Learning of Domain Knowledge from Human Feedback in Text-to-SQL.
CoRR
Thomas Cook, Kelly Patel, Sivapriya Vellaichamy, Udari Madhushani Sehwag, Saba Rahimi, Zhen Zeng, Sumitra Ganesh
2025 A* conf
Decentralized Convergence to Equilibrium Prices in Trading Networks.
AAAI
Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic, Sujay Bhatt, Alec Koppel, Sumitra Ganesh, Paul W. Goldberg
2025 J jnl
Downside Risk-Aware Equilibria for Strategic Decision-Making.
CoRR
Oliver Slumbers, Benjamin Patrick Evans, Sumitra Ganesh, Leo Ardon
2025 J jnl
Efficient Inverse Multiagent Learning.
CoRR
Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh
2025 A* conf
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment.
ICLR
Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh
2025 J jnl
Generating Structured Plan Representation of Procedures with LLMs.
CoRR
Deepeka Garg, Sihan Zeng, Sumitra Ganesh, Leo Ardon
2025 J jnl
Generative AI Agents for Knowledge Work Augmentation in Finance.
Annu. Rev. Control. Robotics Auton. Syst.
Sumitra Ganesh, Leo Ardon, Daniel Borrajo, Deepeka Garg, Udari Madhushani Sehwag, Annapoorani Lakshmi Narayanan, Giuseppe Canonaco, Manuela M. Veloso
2025 A conf
Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis.
AISTATS
Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
2025 J jnl
Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis.
CoRR
Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt, Leo Ardon, Sumitra Ganesh, Alec Koppel
2025 J jnl
Modelling bounded rational decision-making through Wasserstein constraints.
CoRR
Benjamin Patrick Evans, Leo Ardon, Sumitra Ganesh
2025 J jnl
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs.
CoRR
Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolò Dalmasso, Natraj Raman, Sumitra Ganesh
2025 J jnl
PADME: Procedure Aware DynaMic Execution.
CoRR
Deepeka Garg, Sihan Zeng, Annapoorani Lakshmi Narayanan, Sumitra Ganesh, Leo Ardon
2025 Misc conf
Partially Observable Contextual Bandits With Linear Payoffs.
ICASSP
Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
2025 A* conf
Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction.
ICML
Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolò Dalmasso, Natraj Raman, Sumitra Ganesh
2025 J jnl
QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting.
CoRR
Nicole Cho, William Watson, Alec Koppel, Sumitra Ganesh, Manuela Veloso
2025 J jnl
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money.
CoRR
Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
2025 J jnl
SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding.
CoRR
Yiqiao Jin, Rachneet Kaur, Zhen Zeng, Sumitra Ganesh, Srijan Kumar
2024 J jnl
A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis.
CoRR
Deepeka Garg, Benjamin Patrick Evans, Leo Ardon, Annapoorani Lakshmi Narayanan, Jared Vann, Udari Madhushani, Makada Henry-Nickie, Sumitra Ganesh
2024 J jnl
Approximate Equivariance in Reinforcement Learning.
CoRR
Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L. S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters
2024 J jnl
Decentralized Convergence to Equilibrium Prices in Trading Networks.
CoRR
Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic, Sujay Bhatt, Alec Koppel, Sumitra Ganesh, Paul W. Goldberg
2024 A* conf
Efficient Inverse Multiagent Learning.
ICLR
Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh
2024 J jnl
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment.
CoRR
Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh
2024 J jnl
In-Context Learning with Topological Information for Knowledge Graph Completion.
CoRR
Udari Madhushani Sehwag, Kassiani Papasotiriou, Jared Vann, Sumitra Ganesh
2024 A* conf
Information-Directed Pessimism for Offline Reinforcement Learning.
ICML
Alec Koppel, Sujay Bhatt, Jiacheng Guo, Joe Eappen, Mengdi Wang, Sumitra Ganesh
2024 Misc conf
Learning Payment-Free Resource Allocation Mechanisms.
WSC
Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh
2024 J jnl
Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning.
CoRR
Benjamin Patrick Evans, Sumitra Ganesh
2024 A conf
Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-agent Reinforcement Learning.
AAMAS
Benjamin Patrick Evans, Sumitra Ganesh
2024 J jnl
Online MCMC Thinning with Kernelized Stein Discrepancy.
SIAM J. Math. Data Sci.
Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh
2024 J jnl
Partially Observable Contextual Bandits with Linear Payoffs.
CoRR
Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
2024 J jnl
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money.
Trans. Mach. Learn. Res.
Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
2024 J jnl
Scalable Representation Learning for Multimodal Tabular Transactions.
CoRR
Natraj Raman, Sumitra Ganesh, Manuela Veloso
2024 — conf
Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products.
ICAIF
Leo Ardon, Benjamin Patrick Evans, Deepeka Garg, Annapoorani Lakshmi Narayanan, Makada Henry-Nickie, Sumitra Ganesh
2024 J jnl
Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products.
CoRR
Leo Ardon, Benjamin Patrick Evans, Deepeka Garg, Annapoorani Lakshmi Narayanan, Makada Henry-Nickie, Sumitra Ganesh
2023 A* conf
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication.
ICLR
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
2023 J jnl
Near-Optimal Fair Resource Allocation for Strategic Agents without Money: A Data-Driven Approach.
CoRR
Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh
2023 J jnl
O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models.
CoRR
Yuchen Xiao, Yanchao Sun, Mengda Xu, Udari Madhushani, Jared Vann, Deepeka Garg, Sumitra Ganesh
2023 A conf
Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems.
AAMAS
Leo Ardon, Jared Vann, Deepeka Garg, Thomas Spooner, Sumitra Ganesh
2023 — conf
Sequential Fair Resource Allocation under a Markov Decision Process Framework.
ICAIF
Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh
2023 J jnl
Sequential Fair Resource Allocation under a Markov Decision Process Framework.
CoRR
Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh
2022 J jnl
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems.
CoRR
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
2022 A* conf
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures.
ICML
Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh
2022 J jnl
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning.
CoRR
Leo Ardon, Alberto Pozanco, Daniel Borrajo, Sumitra Ganesh
2022 J jnl
Mixture of basis for interpretable continual learning with distribution shifts.
CoRR
Mengda Xu, Sumitra Ganesh, Pranay Pasula
2022 J jnl
Phantom - An RL-driven framework for agent-based modeling of complex economic systems and markets.
CoRR
Leo Ardon, Jared Vann, Deepeka Garg, Tom Spooner, Sumitra Ganesh
2022 J jnl
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations.
CoRR
Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso
2021 J jnl
Causal Policy Gradients.
CoRR
Thomas Spooner, Nelson Vadori, Sumitra Ganesh
2021 J jnl
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures.
CoRR
Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh
2021 A* conf
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs.
NeurIPS
Thomas Spooner, Nelson Vadori, Sumitra Ganesh
2021 J jnl
Towards a fully RL-based Market Simulator.
CoRR
Leo Ardon, Nelson Vadori, Thomas Spooner, Mengda Xu, Jared Vann, Sumitra Ganesh
2021 — conf
Towards a fully rl-based market simulator.
ICAIF
Leo Ardon, Nelson Vadori, Thomas Spooner, Mengda Xu, Jared Vann, Sumitra Ganesh
2020 A* conf
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games.
NeurIPS
Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2020 J jnl
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games.
CoRR
Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2020 J jnl
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty.
CoRR
Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2020 — conf
Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty.
ICAIF
Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2019 J jnl
Reinforcement Learning for Market Making in a Multi-agent Dealer Market.
CoRR
Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant P. Reddy, Manuela Veloso
2009 J jnl
Learning and Recognition of Human Actions Using Optimal Control Primitives.
Int. J. Humanoid Robotics
Sumitra Ganesh, Ruzena Bajcsy
2008 A conf
Recognition of Human Actions using an Optimal Control Based Motor Model.
WACV
Sumitra Ganesh, Ruzena Bajcsy
2008 — conf
Representation and Recognition of Human Actions - a New Approach based on an Optimal Control Motor Model.
VISAPP (2)
Sumitra Ganesh, Ruzena Bajcsy
2007 — conf
Composition of Dynamical Systems for Estimation of Human Body Dynamics.
HSCC
Sumitra Ganesh, Aaron D. Ames, Ruzena Bajcsy
2002 — conf
Blind space-time multiuser detector.
ISCAS (1)
Akshay Mishra, Sumitra Ganesh, Uday B. Desai