Papers
RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders
Takashi Nicholas Maeda, Shohei Shimizu
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport
François-Pierre Paty, Alexandre d’Aspremont, Marco Cuturi
Regularization via Structural Label Smoothing
Weizhi Li, Gautam Dasarathy, Visar Berisha
Regularized Autoencoders via Relaxed Injective Probability Flow
Abhishek Kumar, Ben Poole, Kevin Murphy
RelatIF: Identifying Explanatory Training Samples via Relative Influence
Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite
Rep the Set: Neural Networks for Learning Set Representations
Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios et al.
Revisiting Stochastic Extragradient
Konstantin Mishchenko, Dmitry Kovalev, Egor Shulgin et al.
Revisiting the Landscape of Matrix Factorization
Hossein Valavi, Sulin Liu, Peter Ramadge
Rk-means: Fast Clustering for Relational Data
Ryan Curtin, Benjamin Moseley, Hung Ngo et al.
Robust Importance Weighting for Covariate Shift
Fengpei Li, Henry Lam, Siddharth Prusty
Robust Learning from Discriminative Feature Feedback
Sanjoy Dasgupta, Sivan Sabato
Robustness for Non-Parametric Classification: A Generic Attack and Defense
Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang et al.
Robust Optimisation Monte Carlo
Borislav Ikonomov, Michael U. Gutmann
Robust Stackelberg buyers in repeated auctions
Thomas Nedelec, Clement Calauzenes, Vianney Perchet et al.
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data
Simao Eduardo, Alfredo Nazabal, Christopher K. I. Williams et al.
Safe-Bayesian Generalized Linear Regression
Rianne Heide, Alisa Kirichenko, Peter Grunwald et al.
Sample complexity bounds for localized sketching
Rakshith Sharma Srinivasa, Mark Davenport, Justin Romberg
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles
Aditya Modi, Nan Jiang, Ambuj Tewari et al.
Scalable Feature Selection for (Multitask) Gradient Boosted Trees
Cuize Han, Nikhil Rao, Daria Sorokina et al.
Scalable Gradients for Stochastic Differential Equations
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen et al.
Scalable Nonparametric Factorization for High-Order Interaction Events
Zhimeng Pan, Zheng Wang, Shandian Zhe
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing
Amir Zandieh, Navid Nouri, Ameya Velingker et al.