Papers
Rates of Convergence for Sparse Variational Gaussian Process Regression
David Burt, Carl Edward Rasmussen, Mark Van Der Wilk
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
Philipp Becker, Harit Pandya, Gregor Gebhardt et al.
Recursive Sketches for Modular Deep Learning
Badih Ghazi, Rina Panigrahy, Joshua Wang
Refined Complexity of PCA with Outliers
Kirill Simonov, Fedor Fomin, Petr Golovach et al.
Regret Circuits: Composability of Regret Minimizers
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Regularization in directable environments with application to Tetris
Jan Malte Lichtenberg, Özgür Şimşek
Rehashing Kernel Evaluation in High Dimensions
Paris Siminelakis, Kexin Rong, Peter Bailis et al.
Reinforcement Learning in Configurable Continuous Environments
Alberto Maria Metelli, Emanuele Ghelfi, Marcello Restelli
Relational Pooling for Graph Representations
Ryan Murphy, Balasubramaniam Srinivasan, Vinayak Rao et al.
Remember and Forget for Experience Replay
Guido Novati, Petros Koumoutsakos
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions
Hao Wang, Berk Ustun, Flavio Calmon
Replica Conditional Sequential Monte Carlo
Alex Shestopaloff, Arnaud Doucet
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Yochai Blau, Tomer Michaeli
Revisiting precision recall definition for generative modeling
Loic Simon, Ryan Webster, Julien Rabin
Revisiting the Softmax Bellman Operator: New Benefits and New Perspective
Zhao Song, Ron Parr, Lawrence Carin
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra
Robust Decision Trees Against Adversarial Examples
Hongge Chen, Huan Zhang, Duane Boning et al.
Robust Estimation of Tree Structured Gaussian Graphical Models
Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis
Robust Inference via Generative Classifiers for Handling Noisy Labels
Kimin Lee, Sukmin Yun, Kibok Lee et al.
Robust Influence Maximization for Hyperparametric Models
Dimitris Kalimeris, Gal Kaplun, Yaron Singer
Robust Learning from Untrusted Sources
Nikola Konstantinov, Christoph Lampert
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
Raphael Suter, Djordje Miladinovic, Bernhard Schölkopf et al.
Rotation Invariant Householder Parameterization for Bayesian PCA
Rajbir Nirwan, Nils Bertschinger
Safe Grid Search with Optimal Complexity
Eugene Ndiaye, Tam Le, Olivier Fercoq et al.
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche, Paul Trichelair, Remi Tachet Des Combes