Papers
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
Simon S Du, Yining Wang, Aarti Singh
Matrix Norm Estimation from a Few Entries
Ashish Khetan, Sewoong Oh
Adaptive stimulus selection for optimizing neural population responses
Benjamin Cowley, Ryan Williamson, Katerina Clemens et al.
Improved Training of Wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky et al.
Mapping distinct timescales of functional interactions among brain networks
Mali Sundaresan, Arshed Nabeel, Devarajan Sridharan
Revenue Optimization with Approximate Bid Predictions
Andres Munoz, Sergei Vassilvitskii
Deep Learning with Topological Signatures
Christoph Hofer, Roland Kwitt, Marc Niethammer et al.
Triple Generative Adversarial Nets
Chongxuan LI, Taufik Xu, Jun Zhu et al.
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM
Katrina Ligett, Seth Neel, Aaron Roth et al.
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen et al.
Unsupervised Transformation Learning via Convex Relaxations
Tatsunori B Hashimoto, Percy Liang, John C. Duchi
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Chris Metzler, Ali Mousavi, Richard Baraniuk
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem
Yasin Abbasi Yadkori, Peter L Bartlett, Victor Gabillon
Multiresolution Kernel Approximation for Gaussian Process Regression
Yi Ding, Risi Kondor, Jonathan Eskreis-Winkler
Concrete Dropout
Yarin Gal, Jiri Hron, Alex Kendall
Reinforcement Learning under Model Mismatch
Aurko Roy, Huan Xu, Sebastian Pokutta
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
Chaobing Song, Shaobo Cui, Yong Jiang et al.
Pixels to Graphs by Associative Embedding
Alejandro Newell, Jia Deng
Online Learning with Transductive Regret
Mehryar Mohri, Scott Yang
Lookahead Bayesian Optimization with Inequality Constraints
Remi Lam, Karen Willcox
Hiding Images in Plain Sight: Deep Steganography
Shumeet Baluja
Working hard to know your neighbor's margins: Local descriptor learning loss
Anastasiia Mishchuk, Dmytro Mishkin, Filip Radenovic et al.
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
Alberto Bietti, Julien Mairal
Nonparametric Online Regression while Learning the Metric
Ilja Kuzborskij, Nicolò Cesa-Bianchi