Publication How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD Zeyuan Allen-Zhu NIPS 2018 | December 2018
Publication Optimal Algorithms for Non-Smooth Distributed Optimization in Networks Kevin Scaman, Francis Bach, Sébastien Bubeck, Yin Tat Lee, Laurent Massoulié NIPS 2018 | December 2018
Publication Natasha 2: Faster Non-Convex Optimization Than SGD Zeyuan Allen-Zhu NIPS 2018 | December 2018
Publication Community Exploration: From Offline Optimization to Online Learning Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NeurIPS’2018) | December 2018
Publication Learning SMaLL Predictors Vikas Garg, Ofer Dekel, Lin Xiao Neural Information Processing Systems | December 2018 Project
Publication Estimating network degree distributions under sampling: an inverse problem, with applications to monitoring social media networks Christian Borgs, Jennifer Chayes Probabilistic Foundations of Statistical Network Analysis | Published by Norton | 2018, Vol 9 | 1 edition
Publication Coupled Variational Bayes via Optimization Embedding Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song Neural Information Processing Systems | December 2018 Project
Publication An Issue in the Martingale Analysis of the Influence Maximization Algorithm IMM Wei Chen Proceedings of the 7th International Conference on Computational Social Networks (CSoNet’2018) | December 2018
Publication Contextual bandits with surrogate losses: Margin bounds and efficient algorithms Dylan J. Foster, Akshay Krishnamurthy Advances in Neural Information Processing Systems | December 2018
Publication Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors Yichi Zhou, Jingwei Zhuo, Jun Zhu International Conference on Machine Learning (ICML) | December 2018
Research
Research