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
Publication Bayesian seismic inversion: Measuring Langevin MCMC sample quality with kernels Muhammad Izzatullah, Ricardo Baptista, Lester Mackey, Youssef M Marzouk June 2020
Publication Backward Feature Correction: How Deep Learning Performs Deep Learning Zeyuan Allen-Zhu, Yuanzhi Li June 2020 Project
