Shreyas Chaudhari

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Bandit Problems

Unsupervised Clustering

Reinforcement Learning

Convex Functions

Top Venues

IEEE Trans. Inf. Theory

Publications

Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries. CoRR (2024)
Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva
From Past to Future: Rethinking Eligibility Traces. AAAI (2024)
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
Gradient Networks. CoRR (2024)
Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. CoRR (2024)
Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, Vishvak Murahari
PersonaGym: Evaluating Persona Agents and LLMs. CoRR (2024)
John Shi, Shreyas Chaudhari, José M. F. Moura
Graph Convolutional Neural Networks In The Companion Model. ICASSP (2024)
Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis
Distributional Off-Policy Evaluation for Slate Recommendations. AAAI (2024)
Shreyas Chaudhari, José M. F. Moura
Knowledge Distillation by Compressive Sampling. ACSSC (2023)
Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis
Distributional Off-Policy Evaluation for Slate Recommendations. CoRR (2023)
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
Learning Gradients of Convex Functions with Monotone Gradient Networks. ICASSP (2023)
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
Learning Gradients of Convex Functions with Monotone Gradient Networks. CoRR (2023)
Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva
From Past to Future: Rethinking Eligibility Traces. CoRR (2023)
Peikai Li, Ipek Ilayda Onur, Scott Dodelson, Shreyas Chaudhari
High-Resolution CMB Lensing Reconstruction with Deep Learning. CoRR (2022)
Shreyas Chaudhari, José M. F. Moura
Deep Beamforming for Joint Direction of Arrival Estimation and Source Detection. IEEECONF (2022)
Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yagan
Multi-Armed Bandits With Correlated Arms. IEEE Trans. Inf. Theory 67 (10) (2021)
Shreyas Chaudhari, Harideep Nair, José M. F. Moura, John Paul Shen
Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks. ICASSP (2021)
Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan
A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits. ICASSP (2021)
Benjamin Eysenbach, Shreyas Chaudhari, Swapnil Asawa, Sergey Levine, Ruslan Salakhutdinov
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers. ICLR (2021)
Shreyas Chaudhari, Harideep Nair, José M. F. Moura, John Paul Shen
Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks. CoRR (2021)
Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan
A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Benjamin Eysenbach, Swapnil Asawa, Shreyas Chaudhari, Ruslan Salakhutdinov, Sergey Levine
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers. CoRR (2020)
Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yagan
Multi-Armed Bandits with Correlated Arms. CoRR (2019)
Rahul Vaze, Shreyas Chaudhari, Akshat Choube, Nitin Aggarwal
Energy-Delay-Distortion Problem. CoRR (2017)