Garg, Shivam

14 publications

NeurIPS 2025 Discovering Data Structures: Nearest Neighbor Search and Beyond Omar Salemohamed, Laurent Charlin, Shivam Garg, Vatsal Sharan, Gregory Valiant

ICLR 2025 Machine Unlearning via Simulated Oracle Matching Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel

TMLR 2025 Testing with Non-Identically Distributed Samples Shivam Garg, Chirag Pabbaraju, Kirankumar Shiragur, Gregory Valiant

ICMLW 2024 Learning to Design Data-Structures: A Case Study of Nearest Neighbor Search Omar Salemohamed, Vatsal Sharan, Shivam Garg, Laurent Charlin, Gregory Valiant

AISTATS 2022 A General Class of Surrogate Functions for Stable and Efficient Reinforcement Learning Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Müller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux

AISTATS 2022 An Alternate Policy Gradient Estimator for SoftMax Policies Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, Rupam Mahmood

AISTATS 2022 How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization Shivam Garg, Santosh Vempala

NeurIPS 2022 What Can Transformers Learn In-Context? a Case Study of Simple Function Classes Shivam Garg, Dimitris Tsipras, Percy Liang, Gregory Valiant

ICML 2021 Reward Identification in Inverse Reinforcement Learning Kuno Kim, Shivam Garg, Kirankumar Shiragur, Stefano Ermon

ICML 2020 Gradient Temporal-Difference Learning with Regularized Corrections Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White

CVPRW 2020 NTIRE 2020 Challenge on Image and Video Deblurring Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee, Yu Tseng, Yu-Syuan Xu, Cheng-Ming Chiang, Yi-Min Tsai, Stephan Brehm, Sebastian A. Scherer, Dejia Xu, Yihao Chu, Qingyan Sun, Jiaqin Jiang, Lunhao Duan, Jian Yao, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Yuichi Ito, P. S Hrishikesh, Densen Puthussery, K. A Akhil, C. V. Jiji, Guisik Kim, P. L Deepa, Zhiwei Xiong, Jie Huang, Dong Liu, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Shihua Huang, Yuchen Fan, Jiahui Yu, Haichao Yu, Thomas S. Huang, Ya Zhou, Xin Li, Sen Liu, Zhibo Chen, Saikat Dutta, Sourya Dipta Das, Shivam Garg, Daniel Sprague, Bhrij Patel, Thomas Huck

ICML 2020 Sample Amplification: Increasing Dataset Size Even When Learning Is Impossible Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant

NeurIPS 2018 A Spectral View of Adversarially Robust Features Shivam Garg, Vatsal Sharan, Brian Zhang, Gregory Valiant

ECCVW 2018 Learning Video Features for Multi-Label Classification Shivam Garg