Papers
A Two-Step Computation of the Exact GAN Wasserstein Distance
Huidong Liu, Xianfeng GU, Dimitris Samaras
Delayed Impact of Fair Machine Learning
Lydia T. Liu, Sarah Dean, Esther Rolf et al.
Towards Black-box Iterative Machine Teaching
Weiyang Liu, Bo Dai, Xingguo Li et al.
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression
Haitao Liu, Jianfei Cai, Yi Wang et al.
Detecting and Correcting for Label Shift with Black Box Predictors
Zachary Lipton, Yu-Xiang Wang, Alexander Smola
Level-Set Methods for Finite-Sum Constrained Convex Optimization
Qihang Lin, Runchao Ma, Tianbao Yang
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces
Junhong Lin, Volkan Cevher
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods
Junhong Lin, Volkan Cevher
Reviving and Improving Recurrent Back-Propagation
Renjie Liao, Yuwen Xiong, Ethan Fetaya et al.
The Dynamics of Learning: A Random Matrix Approach
Zhenyu Liao, Romain Couillet
On the Spectrum of Random Features Maps of High Dimensional Data
Zhenyu Liao, Romain Couillet
RLlib: Abstractions for Distributed Reinforcement Learning
Eric Liang, Richard Liaw, Robert Nishihara et al.
Asynchronous Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian, Wei Zhang, Ce Zhang et al.
Estimation of Markov Chain via Rank-Constrained Likelihood
Xudong Li, Mengdi Wang, Anru Zhang
The Well-Tempered Lasso
Yuanzhi Li, Yoram Singer
Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering
Pan Li, Olgica Milenkovic
On the Limitations of First-Order Approximation in GAN Dynamics
Jerry Li, Aleksander Madry, John Peebles et al.
Towards Binary-Valued Gates for Robust LSTM Training
Zhuohan Li, Di He, Fei Tian et al.
Out-of-sample extension of graph adjacency spectral embedding
Keith Levin, Fred Roosta, Michael Mahoney et al.
Noise2Noise: Learning Image Restoration without Clean Data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren et al.
Deep Asymmetric Multi-task Feature Learning
Hae Beom Lee, Eunho Yang, Sung Ju Hwang
Gated Path Planning Networks
Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot et al.
Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling
Kyowoon Lee, Sol-A Kim, Jaesik Choi et al.
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
Yoonho Lee, Seungjin Choi