출판 Backward Feature Correction: How Deep Learning Performs Deep Learning Zeyuan Allen-Zhu, Yuanzhi Li June 2020 ArXiv | June 2020 프로젝트
출판 Strong Self-Concordance and Sampling Aditi Laddha, Yin Tat Lee, Santosh Vempala STOC 2020 | June 2020
출판 Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty Tom Hirshberg, Sai Vemprala, Ashish Kapoor June 2020
출판 Positive Semidefinite Programming: Mixed, Parallel, and Width-Independent Arun Jambulapati, Yin Tat Lee, Jerry Li, Swati Padmanabhan, Kevin Tian STOC 2020 | June 2020
출판 Bayesian seismic inversion: Measuring Langevin MCMC sample quality with kernels Muhammad Izzatullah, Ricardo Baptista, Lester Mackey, Youssef M Marzouk June 2020 ResearchGate | June 2020
출판 HNHN: Hypergraph Networks With Hyperedge Neurons Yihe Dong, Will Sawin, Yoshua Bengio Graph Representation Learning and Beyond Workshop at ICML 2020 | June 2020 Code available: https://github.com/twistedcubic/HNHN.
출판 Efficient Approximation Algorithms for Adaptive Influence Maximization Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim The VLDB Journal | June 2020
출판 Non-Adaptive Adaptive Sampling on Turnstile Streams Sepideh Mahabadi, Ilya Razenshteyn, David P. Woodruff, Samson Zhou STOC 2020 | June 2020
출판 Efficiently Learning Structured Distributions from Untrusted Batches Sitan Chen, Jerry Li, Ankur Moitra STOC 2020 | June 2020
출판 Learning Campaign Representations Without Explicit Labels Leena Shekhar, Levi Boyles, Shuayb Zarar, Denis Charles Machine Learning, AI & Data Science Conference (MLADS) | June 2020