• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 33 matches

• 2024
• 
  Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis:
  Distributional Off-Policy Evaluation for Slate Recommendations. AAAI 2024: 8265-8273
• 
  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
• 
  John Shi, Shreyas Chaudhari, José M. F. Moura:
  Graph Convolutional Neural Networks In The Companion Model. ICASSP 2024: 7045-7049
• 
  Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura:
  Gradient Networks. CoRR abs/2404.07361 (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 abs/2404.08555 (2024)
• 
  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)
• 
  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)
• 
  Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura:
  Peer-to-Peer Learning Dynamics of Wide Neural Networks. CoRR abs/2409.15267 (2024)
• 
  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)
• 
  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
• 
  Shreyas Chaudhari, José M. F. Moura:
  Knowledge Distillation by Compressive Sampling. ACSSC 2023: 882-886
• 
  Spanddhana Sara, Andrew Rebeiro-Hargrave, Shreyash Gujar, O. Kathalkar, Samu Varjonen, Sachin Chaudhari, Sasu Tarkoma:
  Protocol for hunting PM_2.5 emission hot spots in cities. EnvSys@MobiSys 2023: 37-42
• 
  Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura:
  Learning Gradients of Convex Functions with Monotone Gradient Networks. ICASSP 2023: 1-5
• 
  Kuldeep Vayadande, Kuhu Mukhopadhyay, Vaishnavi Chaudhari, Shreyas Manwadkar, Tanmay Mutalik, Ishan Gawali:
  Let Us Lint: A Tool for Code Formatting And Code Enhancing. ICCCNT 2023: 1-8
• 
  Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura:
  Learning Gradients of Convex Functions with Monotone Gradient Networks. CoRR abs/2301.10862 (2023)
• 
  Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis:
  Distributional Off-Policy Evaluation for Slate Recommendations. CoRR abs/2308.14165 (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 abs/2312.12972 (2023)
• 2022
• 
  Shreyas Chaudhari, José M. F. Moura:
  Deep Beamforming for Joint Direction of Arrival Estimation and Source Detection. IEEECONF 2022: 1403-1407
• 
  Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly:
  Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. MICCAI (6) 2022: 737-747
• 
  Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
  VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. MIDL 2022: 325-352
• 
  Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly:
  Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. CoRR abs/2204.10436 (2022)
• 
  Peikai Li, Ipek Ilayda Onur, Scott Dodelson, Shreyas Chaudhari:
  High-Resolution CMB Lensing Reconstruction with Deep Learning. CoRR abs/2205.07368 (2022)
• 
  Dave Van Veen, Rogier van der Sluijs, Batu Ozturkler, Arjun D. Desai, Christian Bluethgen, Robert D. Boutin, Marc H. Willis, Gordon Wetzstein, David B. Lindell, Shreyas Vasanawala, John M. Pauly, Akshay S. Chaudhari:
  Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks. CoRR abs/2210.08676 (2022)
• 2021
• 
  Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yagan:
  Multi-Armed Bandits With Correlated Arms. IEEE Trans. Inf. Theory 67(10): 6711-6732 (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: 7873-7877
• 
  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
• 
  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 abs/2102.09200 (2021)
• 
  Arjun D. Desai, Batu M. Ozturkler, Christopher M. Sandino, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
  Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising. CoRR abs/2110.00075 (2021)
• 2020
• 
  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)

skipping 3 more matches