Publication Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain 2021 International Conference on Machine Learning | July 2021 Project Project
Publication Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective Dylan Foster, Alexander Rakhlin, David Simchi-Levi, Yunzong Xu 2021 Conference on Learning Theory | July 2021
Publication Benign Overfitting of Constant-Stepsize SGD for Linear Regression Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham Kakade Conference on Learning Theory | July 2021
Publication Confidence-Budget Matching for Sequential Budgeted Learning Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor International Conference on Machine Learning | July 2021
Publication Batch optimization for DNA synthesis Konstantin Makarychev, Miklos Racz, Cyrus Rashtchian, Sergey Yekhanin International Symposium on Information Theory (ISIT) | July 2021 Project
Publication Faster Kernel Matrix Algebra via Density Estimation Arturs Backurs, Piotr Indyk, Cameron Musco, Tal Wagner July 2021
Publication Network Inference and Influence Maximization from Samples Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang 2021 International Conference on Machine Learning (ICML) | July 2021
Publication Universal Graph Compression: Stochastic Block Models Alankrita Bhatt, Ziao Wang, Chi Wang, Lele Wang International Symposium on Information Theory (ISIT 2021) | July 2021
Publication Lower Bounds for Maximally Recoverable Tensor Code and Higher Order MDS Codes Joshua Brakensiek, Sivakanth Gopi, Visu Makam IEEE Transactions on Information Theory | July 2021
Publication Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters Janardhan (Jana) Kulkarni, Stefan Schmid, Paweł Schmidt ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) 2021 | July 2021