출판 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
출판 Confidence-Budget Matching for Sequential Budgeted Learning Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor International Conference on Machine Learning | July 2021
출판 Batch optimization for DNA synthesis Konstantin Makarychev, Miklos Racz, Cyrus Rashtchian, Sergey Yekhanin International Symposium on Information Theory (ISIT) | July 2021 프로젝트
출판 Faster Kernel Matrix Algebra via Density Estimation Arturs Backurs, Piotr Indyk, Cameron Musco, Tal Wagner July 2021
출판 Network Inference and Influence Maximization from Samples Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang 2021 International Conference on Machine Learning (ICML) | July 2021
출판 Universal Graph Compression: Stochastic Block Models Alankrita Bhatt, Ziao Wang, Chi Wang, Lele Wang International Symposium on Information Theory (ISIT 2021) | July 2021
출판 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
출판 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
출판 Dueling Convex Optimization Aadirupa Saha, Tomer Koren, Yishay Mansour International Conference on Machine Learning | July 2021
출판 Domain Generalization using Causal Matching Divyat Mahajan, Shruti Tople, Amit Sharma International Conference on Machine Learning (ICML) | July 2021 Github 프로젝트 프로젝트