Murugesan, Keerthiram

21 publications

NeurIPS 2025 AutoData: A Multi-Agent System for Open Web Data Collection Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Xiaoye Qian, Feifan Bai, Yifan Ding, Xuwei Luo, Shinan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

TMLR 2025 Combinatorial Multi-Armed Bandits: Arm Selection via Group Testing Arpan Mukherjee, Shashanka Ubaru, Keerthiram Murugesan, Karthikeyan Shanmugam, Ali Tajer

TMLR 2025 Group Fair Federated Learning via Stochastic Kernel Regularization Huzaifa Arif, Pin-Yu Chen, Keerthiram Murugesan, Alex Gittens

NeurIPSW 2024 Protecting Users from Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents Ivoline C. Ngong, Swanand Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy

ICML 2024 SF-DQN: Provable Knowledge Transfer Using Successor Feature for Deep Reinforcement Learning Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang

TMLR 2024 To Transfer or Not to Transfer: Suppressing Concepts from Source Representations Vijay Sadashivaiah, Keerthiram Murugesan, Ronny Luss, Pin-Yu Chen, Chris Sims, James Hendler, Amit Dhurandhar

ICMLW 2024 Towards Aligning Language Models with Textual Feedback Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan

ICLR 2023 Mitigating Gradient Bias in Multi-Objective Learning: A Provably Convergent Approach Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen

NeurIPS 2023 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury

IJCAI 2023 Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli

NeurIPSW 2023 Plansformer: Generating Symbolic Plans Using Transformers Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, Andrea Loreggia

IJCAI 2023 Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan

ICLR 2022 Auto-Transfer: Learning to Route Transferable Representations Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar

ICLR 2022 Case-Based Reasoning for Better Generalization in Textual Reinforcement Learning Mattia Atzeni, Shehzaad Zuzar Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan

AAAI 2022 Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula

NeurIPSW 2022 SCERL: A Benchmark for Intersecting Language and Safe Reinforcement Learning Lan Hoang, Shivam Ratnakar, Nicolas Galichet, Akifumi Wachi, Keerthiram Murugesan, Songtao Lu, Mattia Atzeni, Michael Katz, Subhajit Chaudhury

AAAI 2021 Text-Based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell

AAAI 2021 Thinking Fast and Slow in AI Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava

NeurIPS 2017 Active Learning from Peers Keerthiram Murugesan, Jaime Carbonell

IJCAI 2017 Self-Paced Multitask Learning with Shared Knowledge Keerthiram Murugesan, Jaime G. Carbonell

NeurIPS 2016 Adaptive Smoothed Online Multi-Task Learning Keerthiram Murugesan, Hanxiao Liu, Jaime Carbonell, Yiming Yang