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ORCIDShreyas Chaudhari
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2020 – today
- 2024
[c9]Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis:
Distributional Off-Policy Evaluation for Slate Recommendations. AAAI 2024: 8265-8273- [c8]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: 12253-12260 - [c7]John Shi, Shreyas Chaudhari, José M. F. Moura:
Graph Convolutional Neural Networks In The Companion Model. ICASSP 2024: 7045-7049 - [i15]Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura:
Gradient Networks. CoRR abs/2404.07361 (2024) - [i14]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 abs/2404.08555 (2024) - [i13]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 abs/2406.12824 (2024) - [i12]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 abs/2407.18416 (2024) - [i11]Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura:
Peer-to-Peer Learning Dynamics of Wide Neural Networks. CoRR abs/2409.15267 (2024) - [i10]Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh:
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis. CoRR abs/2410.00857 (2024) - [i9]Shreyas Chaudhari, Ameet Deshpande, Bruno Castro da Silva, Philip S. Thomas:
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation. CoRR abs/2410.02172 (2024) - 2023
- [c6]Shreyas Chaudhari, José M. F. Moura:
Knowledge Distillation by Compressive Sampling. ACSSC 2023: 882-886 - [c5]Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura:
Learning Gradients of Convex Functions with Monotone Gradient Networks. ICASSP 2023: 1-5 - [i8]Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura:
Learning Gradients of Convex Functions with Monotone Gradient Networks. CoRR abs/2301.10862 (2023) - [i7]Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis:
Distributional Off-Policy Evaluation for Slate Recommendations. CoRR abs/2308.14165 (2023) - [i6]Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva:
From Past to Future: Rethinking Eligibility Traces. CoRR abs/2312.12972 (2023) - 2022
- [c4]Shreyas Chaudhari, José M. F. Moura:
Deep Beamforming for Joint Direction of Arrival Estimation and Source Detection. IEEECONF 2022: 1403-1407 - [i5]Peikai Li, Ipek Ilayda Onur, Scott Dodelson, Shreyas Chaudhari:
High-Resolution CMB Lensing Reconstruction with Deep Learning. CoRR abs/2205.07368 (2022) - 2021
- [j2]Samarth Gupta
, Shreyas Chaudhari, Gauri Joshi, Osman Yagan:
Multi-Armed Bandits With Correlated Arms. IEEE Trans. Inf. Theory 67(10): 6711-6732 (2021) - [c3]Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan:
A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits. ICASSP 2021: 3360-3364 - [c2]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: 7873-7877 - [c1]Benjamin Eysenbach, Shreyas Chaudhari, Swapnil Asawa, Sergey Levine, Ruslan Salakhutdinov:
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers. ICLR 2021 - [i4]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 abs/2102.09200 (2021) - 2020
- [j1]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): 840-853 (2020) - [i3]Benjamin Eysenbach, Swapnil Asawa, Shreyas Chaudhari, Ruslan Salakhutdinov, Sergey Levine:
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers. CoRR abs/2006.13916 (2020)
2010 – 2019
- 2019
- [i2]Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yagan:
Multi-Armed Bandits with Correlated Arms. CoRR abs/1911.03959 (2019) - 2017
- [i1]Rahul Vaze, Shreyas Chaudhari, Akshat Choube, Nitin Aggarwal:
Energy-Delay-Distortion Problem. CoRR abs/1711.05032 (2017)
Coauthor Index
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