papers
Publications (10)
stat.ML2015
AdaDelay: Delay Adaptive Distributed Stochastic Convex Optimization
Suvrit Sra, Adams Wei Yu, Mu Li +1
cs.CL2018
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong +4
stat.ML2017
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models
Yining Wang, Adams Wei Yu, Aarti Singh
math.OC2017
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization
Lin Xiao, Adams Wei Yu, Qihang Lin +1
cs.CL2017
Learning to Skim Text
Adams Wei Yu, Hongrae Lee, Quoc V. Le
cs.LG2017
Doubly Stochastic Primal-Dual Coordinate Method for Bilinear Saddle-Point Problem
Adams Wei Yu, Qihang Lin, Tianbao Yang
cs.LG2012
Efficient Euclidean Projections onto the Intersection of Norm Balls
Adams Wei Yu, Hao Su, Li Fei-Fei
stat.ML2018
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models
Yingxiang Yang, Adams Wei Yu, Zhaoran Wang +1
cs.LG2018
Block-Normalized Gradient Method: An Empirical Study for Training Deep Neural Network
Adams Wei Yu, Lei Huang, Qihang Lin +2
cs.LG2017
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks
Lei Huang, Xianglong Liu, Bo Lang +3