Papers
Bidirectional Learning for Time-series Models with Hidden Units
Takayuki Osogami, Hiroshi Kajino, Taro Sekiyama
Boosted Fitted Q-Iteration
Samuele Tosatto, Matteo Pirotta, Carlo D’Eramo et al.
Bottleneck Conditional Density Estimation
Rui Shu, Hung H. Bui, Mohammad Ghavamzadeh
Breaking Locality Accelerates Block Gauss-Seidel
Stephen Tu, Shivaram Venkataraman, Ashia C. Wilson et al.
Canopy Fast Sampling with Cover Trees
Manzil Zaheer, Satwik Kottur, Amr Ahmed et al.
Capacity Releasing Diffusion for Speed and Locality
Di Wang, Kimon Fountoulakis, Monika Henzinger et al.
ChoiceRank: Identifying Preferences from Node Traffic in Networks
Lucas Maystre, Matthias Grossglauser
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
Ashkan Panahi, Devdatt Dubhashi, Fredrik D. Johansson et al.
Clustering High Dimensional Dynamic Data Streams
Vladimir Braverman, Gereon Frahling, Harry Lang et al.
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