Publication Few-Shot Data-Driven Algorithms for Low Rank Approximation Piotr Indyk, Tal Wagner, David Woodruff NeurIPS 2021 | December 2021
Publication RL for Latent MDPs: Regret Guarantees and a Lower Bound Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor NeurIPS 2021 | December 2021
Publication Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection Matteo Papini, Andrea Tirinzoni, Aldo Pacchiano, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta NeurIPS 2021 | December 2021
Publication Robust Regression Revisited: Acceleration and Improved Estimation Rates Arun Jambulapati, Jerry Li, Kevin Tian NeurIPS 2021 | December 2021
Publication List-Decodable Mean Estimation in Nearly-PCA Time Ilias Diakonikolas, Daniel Kane, Daniel Kongsgaard, Jerry Li, Kevin Tian NeurIPS 2021 | December 2021
Publication Optimality of Zeroth Order Gradient Ascent for Nonlinear Bandit Optimization Baihe Huang, Kaixuan Huang, Sham Kakade, Jason Lee, Qi Lei, Runzhe Wang, Jiaqi Yang NeurIPS 2021 | December 2021
Publication Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness Ankit Garg, Robin Kothari, Praneeth Netrapalli, , Suhail Sherif NeurIPS 2021 | December 2021
Publication Predictive Job Scheduling under Uncertain Constraints in Cloud Computing Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda IJCAI’21 | December 2021 Project Project Project
Publication Dueling Bandits with Adversarial Sleeping Aadirupa Saha, Pierre Gaillard Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS) | December 2021
Publication Going Beyond Linear RL: Sample Efficient Neural Function Approximation Baihe Huang, Kaixuan Huang, Sham Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang NeurIPS 2021 | December 2021
Research
Research