Shivam Garg
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
10
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Machine Unlearning via Simulated Oracle Matching. | Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel |
| 2022 | AISTATS | An Alternate Policy Gradient Estimator for Softmax Policies. | Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, Rupam Mahmood |
| 2022 | AISTATS | How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization. | Shivam Garg, Santosh S. Vempala |
| 2022 | AISTATS | A general class of surrogate functions for stable and efficient reinforcement learning. | Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux |
| 2022 | ICCCN | An Asynchronous Multi-Beam MAC Protocol for Multi-Hop Wireless Networks. | Shivam Garg, Nandini Venkatraman, Elizabeth Serena Bentley, Sunil Kumar |
| 2022 | TrustCom | Robust Perception for Autonomous Vehicles using Dimensionality Reduction. | Shivam Garg, Nandish Chattopadhyay, Anupam Chattopadhyay |
| 2021 | EWSN | An Adaptive And Low-Complexity Routing Protocol For Distributed Airborne Networks. | Shivam Garg |
| 2021 | ICML | Reward Identification in Inverse Reinforcement Learning. | Kuno Kim, Shivam Garg, Kirankumar Shiragur, Stefano Ermon |
| 2020 | CVPR | 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, Hrishikesh P. S, Densen Puthussery, Akhil K. A, C. V. Jiji, Guisik Kim, Deepa P. L, 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 |
| 2020 | ICML | Sample Amplification: Increasing Dataset Size even when Learning is Impossible. | Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant |
| 2020 | ICML | Gradient Temporal-Difference Learning with Regularized Corrections. | Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White |
| 2020 | NLDB | Enabling Interactive Answering of Procedural Questions. | Anutosh Maitra, Shivam Garg, Shubhashis Sengupta |
| 2018 | ECCV | Learning Video Features for Multi-label Classification. | Shivam Garg |
| 2016 | SODA | Raising The Bar For Vertex Cover: Fixed-parameter Tractability Above A Higher Guarantee. | Shivam Garg, Geevarghese Philip |