Papers
Matrix-Free Preconditioning in Online Learning
Ashok Cutkosky, Tamas Sarlos
Anytime Online-to-Batch, Optimism and Acceleration
Ashok Cutkosky
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager, David Madras, Joern-Henrik Jacobsen et al.
Submodular Cost Submodular Cover with an Approximate Oracle
Victoria Crawford, Alan Kuhnle, My Thai
Boosted Density Estimation Remastered
Zac Cranko, Richard Nock
Monge blunts Bayes: Hardness Results for Adversarial Training
Zac Cranko, Aditya Menon, Richard Nock et al.
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
Andrew Cotter, Maya Gupta, Heinrich Jiang et al.
Shape Constraints for Set Functions
Andrew Cotter, Maya Gupta, Heinrich Jiang et al.
Active Learning with Disagreement Graphs
Corinna Cortes, Giulia Desalvo, Mehryar Mohri et al.
Online Learning with Sleeping Experts and Feedback Graphs
Corinna Cortes, Giulia Desalvo, Claudio Gentile et al.
Adjustment Criteria for Generalizing Experimental Findings
Juan Correa, Jin Tian, Elias Bareinboim
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
Rob Cornish, Paul Vanetti, Alexandre Bouchard-Cote et al.
A fully differentiable beam search decoder
Ronan Collobert, Awni Hannun, Gabriel Synnaeve
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Cédric Colas, Pierre Fournier, Mohamed Chetouani et al.
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco Cohen, Maurice Weiler, Berkay Kicanaoglu et al.
Certified Adversarial Robustness via Randomized Smoothing
Jeremy Cohen, Elan Rosenfeld, Zico Kolter
Learning Linear-Quadratic Regulators Efficiently with only √T Regret
Alon Cohen, Tomer Koren, Yishay Mansour
Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models
Eldan Cohen, Christopher Beck
Quantifying Generalization in Reinforcement Learning
Karl Cobbe, Oleg Klimov, Chris Hesse et al.
On Medians of (Randomized) Pairwise Means
Pierre Laforgue, Stephan Clemencon, Patrice Bertail
Dimensionality Reduction for Tukey Regression
Kenneth Clarkson, Ruosong Wang, David Woodruff
Sensitivity Analysis of Linear Structural Causal Models
Carlos Cinelli, Daniel Kumor, Bryant Chen et al.
New results on information theoretic clustering
Ferdinando Cicalese, Eduardo Laber, Lucas Murtinho
Weak Detection of Signal in the Spiked Wigner Model
Hye Won Chung, Ji Oon Lee