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 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
Publication On the Convergence of Typical Decomposition Approaches in MOEA/D for Many-objective Optimization Problems Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin 林庆维 IJCAI 2021 | December 2021 Project
Publication Multiclass Boosting and the Cost of Weak Learning Nataly Brukhim, Elad Hazan, Shay Moran, Robert E. Schapire NeurIPS 2021 | December 2021
Publication Bandits with Knapsacks beyond the Worst Case Karthik Abinav Sankararaman, Aleksandrs Slivkins (slivkins) NeurIPS 2021 | December 2021
Publication Towards optimally abstaining from prediction with OOD test examples Adam Tauman Kalai, Varun Kanade NeurIPS 2021 | December 2021
Publication Combinatorial Pure Exploration with Bottleneck Reward Function Yihan Du, Yuko Kuroki, Wei Chen Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
Publication The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle Fang Kong, Yueran Yang, Wei Chen, Shuai Li Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021