Papers
Orthogonal Estimation of Wasserstein Distances
Mark Rowland, Jiri Hron, Yunhao Tang et al.
Overcomplete Independent Component Analysis via SDP
Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein et al.
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables
Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs
Alexander Bauer, Shinichi Nakajima, Nico Goernitz et al.
Pathwise Derivatives for Multivariate Distributions
Martin Jankowiak, Theofanis Karaletsos
Performance Metric Elicitation from Pairwise Classifier Comparisons
Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta et al.
Precision Matrix Estimation with Noisy and Missing Data
Roger Fan, Byoungwook Jang, Yuekai Sun et al.
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport
Adarsh Subbaswamy, Peter Schulam, Suchi Saria
Probabilistic Forecasting with Spline Quantile Function RNNs
Jan Gasthaus, Konstantinos Benidis, Yuyang Wang et al.
Probabilistic Multilevel Clustering via Composite Transportation Distance
Nhat Ho, Viet Huynh, Dinh Phung et al.
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
Anton Mallasto, Søren Hauberg, Aasa Feragen
Probabilistic Semantic Inpainting with Pixel Constrained CNNs
Emilien Dupont, Suhas Suresha
Projection-Free Bandit Convex Optimization
Lin Chen, Mingrui Zhang, Amin Karbasi
Projection Free Online Learning over Smooth Sets
Kfir Levy, Andreas Krause
Provable Robustness of ReLU networks via Maximization of Linear Regions
Francesco Croce, Maksym Andriushchenko, Matthias Hein
Proximal Splitting Meets Variance Reduction
Fabian Pedregosa, Kilian Fatras, Mattia Casotto
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior
Gaël Letarte, Emilie Morvant, Pascal Germain
Recovery Guarantees For Quadratic Tensors With Sparse Observations
Hongyang Zhang, Vatsal Sharan, Moses Charikar et al.
Region-Based Active Learning
Corinna Cortes, Giulia DeSalvo, Claudio Gentile et al.
Regularized Contextual Bandits
Xavier Fontaine, Quentin Berthet, Vianney Perchet
Renyi Differentially Private ERM for Smooth Objectives
Chen Chen, Jaewoo Lee, Dan Kifer
Reparameterizing Distributions on Lie Groups
Luca Falorsi, Pim de Haan, Tim R. Davidson et al.
Representation Learning on Graphs: A Reinforcement Learning Application
Sephora Madjiheurem, Laura Toni
Resampled Priors for Variational Autoencoders
Matthias Bauer, Andriy Mnih