Papers
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos, Uri Shalit, Joris M. Mooij et al.
Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt, Pang Wei W Koh, Percy Liang
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling
Andrei-Cristian Barbos, Francois Caron, Jean-François Giovannelli et al.
Clustering Billions of Reads for DNA Data Storage
Cyrus Rashtchian, Konstantin Makarychev, Miklos Racz et al.
Clustering Stable Instances of Euclidean k-means.
Aravindan Vijayaraghavan, Abhratanu Dutta, Alex Wang
Clustering with Noisy Queries
Arya Mazumdar, Barna Saha
Coded Distributed Computing for Inverse Problems
Yaoqing Yang, Pulkit Grover, Soummya Kar
Cold-Start Reinforcement Learning with Softmax Policy Gradient
Nan Ding, Radu Soricut
Collaborative Deep Learning in Fixed Topology Networks
Zhanhong Jiang, Aditya Balu, Chinmay Hegde et al.
Collaborative PAC Learning
Avrim Blum, Nika Haghtalab, Ariel D Procaccia et al.
Collapsed variational Bayes for Markov jump processes
Boqian Zhang, Jiangwei Pan, Vinayak A Rao
Collecting Telemetry Data Privately
Bolin Ding, Janardhan Kulkarni, Sergey Yekhanin
Communication-Efficient Distributed Learning of Discrete Distributions
Ilias Diakonikolas, Elena Grigorescu, Jerry Li et al.
Compatible Reward Inverse Reinforcement Learning
Alberto Maria Metelli, Matteo Pirotta, Marcello Restelli
Compression-aware Training of Deep Networks
Jose M Alvarez, Mathieu Salzmann
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath
Concrete Dropout
Yarin Gal, Jiri Hron, Alex Kendall
Conic Scan-and-Cover algorithms for nonparametric topic modeling
Mikhail Yurochkin, Aritra Guha, Xuanlong Nguyen
Conservative Contextual Linear Bandits
Abbas Kazerouni, Mohammad Ghavamzadeh, Yasin Abbasi Yadkori et al.
Consistent Multitask Learning with Nonlinear Output Relations
Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco et al.
Consistent Robust Regression
Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban et al.
Context Selection for Embedding Models
Liping Liu, Francisco Ruiz, Susan Athey et al.
Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim et al.
Continuous DR-submodular Maximization: Structure and Algorithms
An Bian, Kfir Levy, Andreas Krause et al.
Contrastive Learning for Image Captioning
Bo Dai, Dahua Lin