Papers
Active Learning with Logged Data
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
Active Testing: An Efficient and Robust Framework for Estimating Accuracy
Phuc Nguyen, Deva Ramanan, Charless Fowlkes
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Noam Shazeer, Mitchell Stern
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits
Huasen Wu, Xueying Guo, Xin Liu
Adaptive Sampled Softmax with Kernel Based Sampling
Guy Blanc, Steffen Rendle
Adaptive Three Operator Splitting
Fabian Pedregosa, Gauthier Gidel
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto, Herke Hoof, David Meger
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning
Konstantin Mishchenko, Franck Iutzeler, Jérôme Malick et al.
A Distributed Second-Order Algorithm You Can Trust
Celestine Duenner, Aurelien Lucchi, Matilde Gargiani et al.
ADMM and Accelerated ADMM as Continuous Dynamical Systems
Guilherme Franca, Daniel Robinson, Rene Vidal
Adversarial Attack on Graph Structured Data
Hanjun Dai, Hui Li, Tian Tian et al.
Adversarial Distillation of Bayesian Neural Network Posteriors
Kuan-Chieh Wang, Paul Vicol, James Lucas et al.
Adversarial Learning with Local Coordinate Coding
Jiezhang Cao, Yong Guo, Qingyao Wu et al.
Adversarially Regularized Autoencoders
Junbo Zhao, Yoon Kim, Kelly Zhang et al.
Adversarial Regression with Multiple Learners
Liang Tong, Sixie Yu, Scott Alfeld et al.
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Jonathan Uesato, Brendan O’Donoghue, Pushmeet Kohli et al.
Adversarial Time-to-Event Modeling
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li et al.
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
Beilun Wang, Arshdeep Sekhon, Yanjun Qi
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
Adam Roberts, Jesse Engel, Colin Raffel et al.
Alternating Randomized Block Coordinate Descent
Jelena Diakonikolas, Lorenzo Orecchia
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method
Li Shen, Peng Sun, Yitong Wang et al.
An Alternative View: When Does SGD Escape Local Minima?
Bobby Kleinberg, Yuanzhi Li, Yang Yuan
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model
Hideaki Imamura, Issei Sato, Masashi Sugiyama
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
Yizhen Wang, Somesh Jha, Kamalika Chaudhuri
Analyzing Uncertainty in Neural Machine Translation
Myle Ott, Michael Auli, David Grangier et al.