Papers
Deep Learning at Alibaba
Rong Jin
Swift Logic for Big Data and Knowledge Graphs
Luigi Bellomarini, Georg Gottlob, Andreas Pieris et al.
Online Learning to Rank in Stochastic Click Models
Masrour Zoghi, Tomas Tunys, Mohammad Ghavamzadeh et al.
Recurrent Highway Networks
Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutnı́k et al.
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm
Rongda Zhu, Lingxiao Wang, Chengxiang Zhai et al.
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, ℓ_2-consistency and Neuroscience Applications
Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu et al.
Identify the Nash Equilibrium in Static Games with Random Payoffs
Yichi Zhou, Jialian Li, Jun Zhu
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values
Chaoxu Zhou, Wenbo Gao, Donald Goldfarb
Recovery Guarantees for One-hidden-layer Neural Networks
Kai Zhong, Zhao Song, Prateek Jain et al.
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible
Kai Zheng, Wenlong Mou, Liwei Wang
Asynchronous Stochastic Gradient Descent with Delay Compensation
Shuxin Zheng, Qi Meng, Taifeng Wang et al.
Follow the Moving Leader in Deep Learning
Shuai Zheng, James T. Kwok
Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture
Mingmin Zhao, Shichao Yue, Dina Katabi et al.
Learning Hierarchical Features from Deep Generative Models
Shengjia Zhao, Jiaming Song, Stefano Ermon
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
Liang Zhao, Siyu Liao, Yanzhi Wang et al.
Leveraging Node Attributes for Incomplete Relational Data
He Zhao, Lan Du, Wray Buntine
Multi-Class Optimal Margin Distribution Machine
Teng Zhang, Zhi-Hua Zhou
Projection-free Distributed Online Learning in Networks
Wenpeng Zhang, Peilin Zhao, Wenwu Zhu et al.
Convexified Convolutional Neural Networks
Yuchen Zhang, Percy Liang, Martin J. Wainwright
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning
Hantian Zhang, Jerry Li, Kaan Kara et al.
Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method
Chenzi Zhang, Shuguang Hu, Zhihao Gavin Tang et al.
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
Weizhong Zhang, Bin Hong, Wei Liu et al.
Adversarial Feature Matching for Text Generation
Yizhe Zhang, Zhe Gan, Kai Fan et al.