Singh, Karan

24 publications

ICML 2025 Faster Global Minimum Cut with Predictions Helia Niaparast, Benjamin Moseley, Karan Singh

CVPR 2025 Motion Modes: What Could Happen Next? Karran Pandey, Yannick Hold-Geoffroy, Matheus Gadelha, Niloy J. Mitra, Karan Singh, Paul Guerrero

ICML 2025 Sample-Optimal Agnostic Boosting with Unlabeled Data Udaya Ghai, Karan Singh

CVPR 2024 Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D Karran Pandey, Paul Guerrero, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra

ICML 2024 Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret Without Smoothness Requirements Naman Agarwal, Satyen Kale, Karan Singh, Abhradeep Guha Thakurta

NeurIPS 2024 Sample-Efficient Agnostic Boosting Udaya Ghai, Karan Singh

L4DC 2023 Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret Gautam Goel, Naman Agarwal, Karan Singh, Elad Hazan

COLT 2023 Differentially Private and Lazy Online Convex Optimization Naman Agarwal, Satyen Kale, Karan Singh, Abhradeep Thakurta

NeurIPS 2023 Online Nonstochastic Model-Free Reinforcement Learning Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan

ALT 2023 Variance-Reduced Conservative Policy Iteration Naman Agarwal, Brian Bullins, Karan Singh

NeurIPS 2022 A Boosting Approach to Reinforcement Learning Nataly Brukhim, Elad Hazan, Karan Singh

ICML 2021 A Regret Minimization Approach to Iterative Learning Control Naman Agarwal, Elad Hazan, Anirudha Majumdar, Karan Singh

ICML 2021 Boosting for Online Convex Optimization Elad Hazan, Karan Singh

COLT 2020 Improper Learning for Non-Stochastic Control Max Simchowitz, Karan Singh, Elad Hazan

COLT 2020 No-Regret Prediction in Marginally Stable Systems Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang

ALT 2020 The Nonstochastic Control Problem Elad Hazan, Sham Kakade, Karan Singh

ICML 2019 Efficient Full-Matrix Adaptive Regularization Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang

NeurIPS 2019 Logarithmic Regret for Online Control Naman Agarwal, Elad Hazan, Karan Singh

ICML 2019 Online Control with Adversarial Disturbances Naman Agarwal, Brian Bullins, Elad Hazan, Sham Kakade, Karan Singh

ICML 2019 Provably Efficient Maximum Entropy Exploration Elad Hazan, Sham Kakade, Karan Singh, Abby Van Soest

NeurIPS 2018 Spectral Filtering for General Linear Dynamical Systems Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang

ICML 2017 Efficient Regret Minimization in Non-Convex Games Elad Hazan, Karan Singh, Cyril Zhang

NeurIPS 2017 Learning Linear Dynamical Systems via Spectral Filtering Elad Hazan, Karan Singh, Cyril Zhang

ICML 2017 The Price of Differential Privacy for Online Learning Naman Agarwal, Karan Singh