Papers
A Reductions Approach to Fair Classification
Alekh Agarwal, Alina Beygelzimer, Miroslav Dudik et al.
A Robust Approach to Sequential Information Theoretic Planning
Sue Zheng, Jason Pacheco, John Fisher
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
Jingyi Xu, Zilu Zhang, Tal Friedman et al.
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates
Kaiwen Zhou, Fanhua Shang, James Cheng
A Spectral Approach to Gradient Estimation for Implicit Distributions
Jiaxin Shi, Shengyang Sun, Jun Zhu
A Spline Theory of Deep Learning
Randall Balestriero, baraniuk
Asynchronous Byzantine Machine Learning (the case of SGD)
Georgios Damaskinos, El-Mahdi El-Mhamdi, Rachid Guerraoui et al.
Asynchronous Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian, Wei Zhang, Ce Zhang et al.
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
Umut Simsekli, Cagatay Yildiz, Than Huy Nguyen et al.
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
Weili Nie, Yang Zhang, Ankit Patel
Attention-based Deep Multiple Instance Learning
Maximilian Ilse, Jakub Tomczak, Max Welling
A Two-Step Computation of the Exact GAN Wasserstein Distance
Huidong Liu, Xianfeng GU, Dimitris Samaras
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
Francisco Ruiz, Michalis Titsias, Adji Bousso Dieng et al.
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi, Sai Rajeshwar, Alessandro Sordoni et al.
A Unified Framework for Structured Low-rank Matrix Learning
Pratik Jawanpuria, Bamdev Mishra
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa, David Held, Xinyang Geng et al.
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
Mikolaj Binkowski, Gautier Marti, Philippe Donnat
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski, Will Dabney, Remi Munos
Bandits with Delayed, Aggregated Anonymous Feedback
Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvari et al.
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design
Wenlong Lyu, Fan Yang, Changhao Yan et al.
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Trevor Campbell, Tamara Broderick
Bayesian Model Selection for Change Point Detection and Clustering
Othmane Mazhar, Cristian Rojas, Carlo Fischione et al.
Bayesian Optimization of Combinatorial Structures
Ricardo Baptista, Matthias Poloczek
Bayesian Quadrature for Multiple Related Integrals
Xiaoyue Xi, Francois-Xavier Briol, Mark Girolami