Publication Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments Sitan Chen, Jerry Li, Zhao Song STOC 2020 | June 2020
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 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 An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications Haotian Jiang, Yin Tat Lee, Zhao Song, Sam Chiu-wai Wong STOC 2020 | June 2020
Publication Positive Semidefinite Programming: Mixed, Parallel, and Width-Independent Arun Jambulapati, Yin Tat Lee, Jerry Li, Swati Padmanabhan, Kevin Tian STOC 2020 | June 2020
Publication Modeling and Evaluation Framework for Responsive Search Ads Jiamei Shuai, 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
