Publication Solving Tall Dense Linear Programs in Nearly Linear Time Jan van den Brand, Yin Tat Lee, Aaron Sidford, Zhao Song STOC 2020 | June 2020
Publication Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu IEEE Transactions on Signal Processing | June 2020, Vol 68
Publication Prediction and Exploration Models for Responsive Search Ads Jiamei Shuai, Denis Charles, Shuayb Zarar Microsoft Journal of Applied Research (MSJAR) | June 2020, Vol 13(1)
Publication Efficiently Learning Structured Distributions from Untrusted Batches Sitan Chen, Jerry Li, Ankur Moitra STOC 2020 | June 2020
Publication Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments Sitan Chen, Jerry Li, Zhao Song STOC 2020 | June 2020
Publication 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.
Publication Strong Self-Concordance and Sampling Aditi Laddha, Yin Tat Lee, Santosh Vempala STOC 2020 | June 2020
Publication Non-Adaptive Adaptive Sampling on Turnstile Streams Sepideh Mahabadi, Ilya Razenshteyn, David P. Woodruff, Samson Zhou STOC 2020 | June 2020
Publication Learning Campaign Representations Without Explicit Labels Leena Shekhar, Levi Boyles, Shuayb Zarar, Denis Charles Machine Learning, AI & Data Science Conference (MLADS) | June 2020
Publication 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
