Papers
Relational Neural Markov Random Fields
Yuqiao Chen, Sriraam Natarajan, Nicholas Ruozzi
REPID: Regional Effect Plots with implicit Interaction Detection
Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio
Resampling Base Distributions of Normalizing Flows
Vincent Stimper, Bernhard Schölkopf, Jose Miguel Hernandez-Lobato
Reward-Free Policy Space Compression for Reinforcement Learning
Mirco Mutti, Stefano Del Col, Marcello Restelli
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas et al.
Robust Deep Learning from Crowds with Belief Propagation
Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim et al.
Robustness and Reliability When Training With Noisy Labels
Amanda Olmin, Fredrik Lindsten
Robust Probabilistic Time Series Forecasting
Taeho Yoon, Youngsuk Park, Ernest K. Ryu et al.
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
Qin Ding, Cho-Jui Hsieh, James Sharpnack
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
Anish Acharya, Abolfazl Hashemi, Prateek Jain et al.
Safe Active Learning for Multi-Output Gaussian Processes
Cen-You Li, Barbara Rakitsch, Christoph Zimmer
Safe Optimal Design with Applications in Off-Policy Learning
Ruihao Zhu, Branislav Kveton
Sample-and-threshold differential privacy: Histograms and applications
Graham Cormode, Akash Bharadwaj
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation
Zaiwei Chen, Siva Theja Maguluri
Sample Complexity of Robust Reinforcement Learning with a Generative Model
Kishan Panaganti, Dileep Kalathil
Sampling from Arbitrary Functions via PSD Models
Ulysse Marteau-Ferey, Francis Bach, Alessandro Rudi
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data
Or Dinari, Oren Freifeld
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums
Jiabin Chen, Rui Yuan, Guillaume Garrigos et al.
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion
Tian Tong, Cong Ma, Ashley Prater-Bennette et al.
Second-Order Sensitivity Analysis for Bilevel Optimization
Robert Dyro, Edward Schmerling, Nikos Arechiga et al.
Self-training Converts Weak Learners to Strong Learners in Mixture Models
Spencer Frei, Difan Zou, Zixiang Chen et al.
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
Beomsu Kim, Junghoon Seo
Sensing Cox Processes via Posterior Sampling and Positive Bases
Mojmir Mutny, Andreas Krause
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
Oliver Cobb, Arnaud Van Looveren, Janis Klaise
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
Clément Bénard, Gérard Biau, Sébastien Da Veiga et al.