Papers
Celer: a Fast Solver for the Lasso with Dual Extrapolation
Mathurin MASSIAS, Alexandre Gramfort, Joseph Salmon
Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions
Karren Yang, Abigail Katcoff, Caroline Uhler
Characterizing Implicit Bias in Terms of Optimization Geometry
Suriya Gunasekar, Jason Lee, Daniel Soudry et al.
Chi-square Generative Adversarial Network
Chenyang Tao, Liqun Chen, Ricardo Henao et al.
Classification from Pairwise Similarity and Unlabeled Data
Han Bao, Gang Niu, Masashi Sugiyama
Clipped Action Policy Gradient
Yasuhiro Fujita, Shin-ichi Maeda
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization
Louis Filstroff, Alberto Lumbreras, Cédric Févotte
Clustering Semi-Random Mixtures of Gaussians
Aravindan Vijayaraghavan, Pranjal Awasthi
Coded Sparse Matrix Multiplication
Sinong Wang, Jiashang Liu, Ness Shroff
Communication-Computation Efficient Gradient Coding
Min Ye, Emmanuel Abbe
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
Marco Baity-Jesi, Levent Sagun, Mario Geiger et al.
Comparison-Based Random Forests
Siavash Haghiri, Damien Garreau, Ulrike Luxburg
Competitive Caching with Machine Learned Advice
Thodoris Lykouris, Sergei Vassilvtiskii
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations
Xingyu Wang, Diego Klabjan
Compiling Combinatorial Prediction Games
Frederic Koriche
Composable Planning with Attributes
Amy Zhang, Sainbayar Sukhbaatar, Adam Lerer et al.
Composite Functional Gradient Learning of Generative Adversarial Models
Rie Johnson, Tong Zhang
Composite Marginal Likelihood Methods for Random Utility Models
Zhibing Zhao, Lirong Xia
Compressing Neural Networks using the Variational Information Bottleneck
Bin Dai, Chen Zhu, Baining Guo et al.
Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn’s Algorithm
Pavel Dvurechensky, Alexander Gasnikov, Alexey Kroshnin
Conditional Neural Processes
Marta Garnelo, Dan Rosenbaum, Christopher Maddison et al.
Conditional Noise-Contrastive Estimation of Unnormalised Models
Ciwan Ceylan, Michael U. Gutmann
Configurable Markov Decision Processes
Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
Constant-Time Predictive Distributions for Gaussian Processes
Geoff Pleiss, Jacob Gardner, Kilian Weinberger et al.
Constrained Interacting Submodular Groupings
Andrew Cotter, Mahdi Milani Fard, Seungil You et al.