Shreyas Chaudhari

39 papers A* 4Misc 6Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. ACM Comput. Surv. Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva
2026	J	`jnl`	Test-Time Strategies for More Efficient and Accurate Agentic RAG. CoRR Brian Zhang, Deepti Guntur, Zhiyang Zuo, Abhinav Sharma, Shreyas Chaudhari, Wenlong Zhao, Franck Dernoncourt, Puneet Mathur, Ryan Rossi, Nedim Lipka
2025	J	`jnl`	Agent Context Protocols Enhance Collective Inference. CoRR Devansh Bhardwaj, Arjun Beniwal, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Karthik R. Narasimhan, Ameet Deshpande, Vishvak Murahari
2025	J	`jnl`	GLUE: Gradient-free Learning to Unify Experts. CoRR Jong-Ik Park, Shreyas Chaudhari, Srinivasa Pranav, Carlee Joe-Wong, José M. F. Moura
2025	—	`conf`	GradNetOT: Learning Optimal Transport Maps with GradNets. CAMSAP Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2025	J	`jnl`	GradNetOT: Learning Optimal Transport Maps with GradNets. CoRR Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2025	J	`jnl`	Gradient Networks. IEEE Trans. Signal Process. Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2025	Misc	`conf`	Peer-to-Peer Learning Dynamics of Wide Neural Networks. ICASSP Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura
2025	—	`conf`	PersonaGym: Evaluating Persona Agents and LLMs. EMNLP (Findings) Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik R. Narasimhan, Vishvak Murahari
2025	J	`jnl`	Probing AI Safety with Source Code. CoRR Ujwal Narayan, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Karthik Narasimhan, Ameet Deshpande, Vishvak Murahari
2025	J	`jnl`	ReLU Networks as Random Functions: Their Distribution in Probability Space. CoRR Shreyas Chaudhari, José M. F. Moura
2025	J	`jnl`	Which Rewards Matter? Reward Selection for Reinforcement Learning under Limited Feedback. CoRR Shreyas Chaudhari, Renhao Zhang, Philip S. Thomas, Bruno Castro da Silva
2024	A*	`conf`	Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation. NeurIPS Shreyas Chaudhari, Ameet Deshpande, Bruno C. da Silva, Philip S. Thomas
2024	J	`jnl`	Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation. CoRR Shreyas Chaudhari, Ameet Deshpande, Bruno Castro da Silva, Philip S. Thomas
2024	A*	`conf`	Distributional Off-Policy Evaluation for Slate Recommendations. AAAI Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis
2024	A*	`conf`	From Past to Future: Rethinking Eligibility Traces. AAAI Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva
2024	J	`jnl`	From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries. CoRR Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh
2024	J	`jnl`	Gradient Networks. CoRR Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2024	Misc	`conf`	Graph Convolutional Neural Networks In The Companion Model. ICASSP John Shi, Shreyas Chaudhari, José M. F. Moura
2024	J	`jnl`	Peer-to-Peer Learning Dynamics of Wide Neural Networks. CoRR Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura
2024	J	`jnl`	PersonaGym: Evaluating Persona Agents and LLMs. CoRR Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, Vishvak Murahari
2024	J	`jnl`	Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis. CoRR Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh
2024	J	`jnl`	RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. CoRR Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva
2023	J	`jnl`	Distributional Off-Policy Evaluation for Slate Recommendations. CoRR Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis
2023	J	`jnl`	From Past to Future: Rethinking Eligibility Traces. CoRR Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva
2023	Misc	`conf`	Knowledge Distillation by Compressive Sampling. ACSSC Shreyas Chaudhari, José M. F. Moura
2023	Misc	`conf`	Learning Gradients of Convex Functions with Monotone Gradient Networks. ICASSP Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2023	J	`jnl`	Learning Gradients of Convex Functions with Monotone Gradient Networks. CoRR Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2022	—	`conf`	Deep Beamforming for Joint Direction of Arrival Estimation and Source Detection. IEEECONF Shreyas Chaudhari, José M. F. Moura
2022	J	`jnl`	High-Resolution CMB Lensing Reconstruction with Deep Learning. CoRR Peikai Li, Ipek Ilayda Onur, Scott Dodelson, Shreyas Chaudhari
2021	Misc	`conf`	A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits. ICASSP Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan
2021	J	`jnl`	Multi-Armed Bandits With Correlated Arms. IEEE Trans. Inf. Theory Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yagan
2021	A*	`conf`	Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers. ICLR Benjamin Eysenbach, Shreyas Chaudhari, Swapnil Asawa, Sergey Levine, Ruslan Salakhutdinov
2021	Misc	`conf`	Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks. ICASSP Shreyas Chaudhari, Harideep Nair, José M. F. Moura, John Paul Shen
2021	J	`jnl`	Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks. CoRR Shreyas Chaudhari, Harideep Nair, José M. F. Moura, John Paul Shen
2020	J	`jnl`	A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting. IEEE J. Sel. Areas Inf. Theory Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan
2020	J	`jnl`	Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers. CoRR Benjamin Eysenbach, Swapnil Asawa, Shreyas Chaudhari, Ruslan Salakhutdinov, Sergey Levine
2019	J	`jnl`	Multi-Armed Bandits with Correlated Arms. CoRR Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yagan
2017	J	`jnl`	Energy-Delay-Distortion Problem. CoRR Rahul Vaze, Shreyas Chaudhari, Akshat Choube, Nitin Aggarwal