출판 Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning Zeyuan Allen-Zhu, Yuanzhi Li, Zeyuan Allen-Zhu arXiv preprint | December 2020, (2012.09816) 프로젝트
출판 Improved Maximally Recoverable LRCs using Skew Polynomials Sivakanth Gopi, Venkatesan Guruswami IEEE Transactions on Information Theory | December 2020
출판 Efficient Algorithms for Device Placement of DNN Graph Operators Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino NeurIPS 2020 | December 2020 프로젝트 프로젝트
출판 Fairness in Streaming Submodular Maximization: Algorithms and Hardness Marwa El Halabi, Slobodan Mitrović, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski NeurIPS 2020 | December 2020
출판 Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information Yichi Zhou, Tongzheng Ren, Dong Yan, Jialian Li, Jun Zhu International Conference on Learning Representations (ICLR) | December 2020
출판 Identifying the Causal Effects of Cross-World Policies Noah Weber, Levi Boyles, Shuayb Zarar Neural Information Processing Systems (NeurIPS) | December 2020 Wkshp. on Causal Discovery and Causality-Inspired Machine Learning
출판 On the Equivalence between Online and Private Learnability beyond Binary Classification Young Hun Jung Neural Information Processing Systems | December 2020
출판 Online Influence Maximization under Linear Threshold Model Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2020 Some typos in the original NeurIPS'2020 paper have been fixed.
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