Papers
Co-clustering through Optimal Transport
Charlotte Laclau, Ievgen Redko, Basarab Matei et al.
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Samuel Ritter, David G. T. Barrett, Adam Santoro et al.
Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery
Mostafa Rahmani, George Atia
Coherent Probabilistic Forecasts for Hierarchical Time Series
Souhaib Ben Taieb, James W. Taylor, Rob J. Hyndman
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible
Kai Zheng, Wenlong Mou, Liwei Wang
Combined Group and Exclusive Sparsity for Deep Neural Networks
Jaehong Yoon, Sung Ju Hwang
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Yevgen Chebotar, Karol Hausman, Marvin Zhang et al.
Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis
Dan Garber, Ohad Shamir, Nathan Srebro
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data
Xiuyan Ni, Novi Quadrianto, Yusu Wang et al.
Compressed Sensing using Generative Models
Ashish Bora, Ajil Jalal, Eric Price et al.
Conditional Accelerated Lazy Stochastic Gradient Descent
Guanghui Lan, Sebastian Pokutta, Yi Zhou et al.
Conditional Image Synthesis with Auxiliary Classifier GANs
Augustus Odena, Christopher Olah, Jonathon Shlens
Confident Multiple Choice Learning
Kimin Lee, Changho Hwang, KyoungSoo Park et al.
Connected Subgraph Detection with Mirror Descent on SDPs
Cem Aksoylar, Lorenzo Orecchia, Venkatesh Saligrama
Consistency Analysis for Binary Classification Revisited
Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo et al.
Consistent k-Clustering
Silvio Lattanzi, Sergei Vassilvitskii
Consistent On-Line Off-Policy Evaluation
Assaf Hallak, Shie Mannor
Constrained Policy Optimization
Joshua Achiam, David Held, Aviv Tamar et al.
Contextual Decision Processes with low Bellman rank are PAC-Learnable
Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal et al.
Continual Learning Through Synaptic Intelligence
Friedemann Zenke, Ben Poole, Surya Ganguli
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
Qunwei Li, Yi Zhou, Yingbin Liang et al.
Convexified Convolutional Neural Networks
Yuchen Zhang, Percy Liang, Martin J. Wainwright
Convex Phase Retrieval without Lifting via PhaseMax
Tom Goldstein, Christoph Studer
“Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions
Yair Carmon, John C. Duchi, Oliver Hinder et al.
Convolutional Sequence to Sequence Learning
Jonas Gehring, Michael Auli, David Grangier et al.