Publication Best-item Learning in Random Utility Models with Subset Choices Aadirupa Saha, Aditya Gopalan International Conference on Artificial Intelligence and Statistics | 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 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 Backward Feature Correction: How Deep Learning Performs Deep Learning Zeyuan Allen-Zhu, Yuanzhi Li June 2020 ArXiv | June 2020 Project
Publication Strong Self-Concordance and Sampling Aditi Laddha, Yin Tat Lee, Santosh Vempala 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 Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty Tom Hirshberg, Sai Vemprala, Ashish Kapoor 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 Bayesian seismic inversion: Measuring Langevin MCMC sample quality with kernels Muhammad Izzatullah, Ricardo Baptista, Lester Mackey, Youssef M Marzouk June 2020 ResearchGate | June 2020