Papers
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
Sung Whan Yoon, Do-Yeon Kim, Jun Seo et al.
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
Junjie Hu, Sebastian Ruder, Aditya Siddhant et al.
Zeno++: Robust Fully Asynchronous SGD
Cong Xie, Sanmi Koyejo, Indranil Gupta
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs
Jingkai Mao, Jakob Foerster, Tim Rocktäschel et al.
A Better k-means++ Algorithm via Local Search
Silvio Lattanzi, Christian Sohler
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation
Ramin Raziperchikolaei, Harish Bhat
Accelerated Flow for Probability Distributions
Amirhossein Taghvaei, Prashant Mehta
Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances
Bugra Can, Mert Gurbuzbalaban, Lingjiong Zhu
Acceleration of SVRG and Katyusha X by Inexact Preconditioning
Yanli Liu, Fei Feng, Wotao Yin
A Composite Randomized Incremental Gradient Method
Junyu Zhang, Lin Xiao
A Conditional-Gradient-Based Augmented Lagrangian Framework
Alp Yurtsever, Olivier Fercoq, Volkan Cevher
A Contrastive Divergence for Combining Variational Inference and MCMC
Francisco Ruiz, Michalis Titsias
A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
Action Robust Reinforcement Learning and Applications in Continuous Control
Chen Tessler, Yonathan Efroni, Shie Mannor
Active Embedding Search via Noisy Paired Comparisons
Gregory Canal, Andy Massimino, Mark Davenport et al.
Active Learning for Decision-Making from Imbalanced Observational Data
Iiris Sundin, Peter Schulam, Eero Siivola et al.
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings
Sima Behpour, Anqi Liu, Brian Ziebart
Active Learning with Disagreement Graphs
Corinna Cortes, Giulia Desalvo, Mehryar Mohri et al.
Active Manifolds: A non-linear analogue to Active Subspaces
Robert Bridges, Anthony Gruber, Christopher Felder et al.
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal, Fei Sha
AdaGrad Stepsizes: Sharp Convergence Over Nonconvex Landscapes
Rachel Ward, Xiaoxia Wu, Leon Bottou
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces
Johannes Kirschner, Mojmir Mutny, Nicole Hiller et al.
Adaptive Antithetic Sampling for Variance Reduction
Hongyu Ren, Shengjia Zhao, Stefano Ermon
Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits
Martin Zhang, James Zou, David Tse
Adaptive Neural Trees
Ryutaro Tanno, Kai Arulkumaran, Daniel Alexander et al.