Papers
Collapsed Variational Inference for Sum-Product Networks
Han Zhao, Tameem Adel, Geoff Gordon et al.
Community Recovery in Graphs with Locality
Yuxin Chen, Govinda Kamath, Changho Suh et al.
Complex Embeddings for Simple Link Prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel et al.
Compressive Spectral Clustering
Nicolas Tremblay, Gilles Puy, Remi Gribonval et al.
Computationally Efficient Nyström Approximation using Fast Transforms
Si Si, Cho-Jui Hsieh, Inderjit Dhillon
Conditional Bernoulli Mixtures for Multi-label Classification
Cheng Li, Bingyu Wang, Virgil Pavlu et al.
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications
Weihao Gao, Sreeram Kannan, Sewoong Oh et al.
Conservative Bandits
Yifan Wu, Roshan Shariff, Tor Lattimore et al.
Contextual Combinatorial Cascading Bandits
Shuai Li, Baoxiang Wang, Shengyu Zhang et al.
Continuous Deep Q-Learning with Model-based Acceleration
Shixiang Gu, Timothy Lillicrap, Ilya Sutskever et al.
Controlling the distance to a Kemeny consensus without computing it
Yunlong Jiao, Anna Korba, Eric Sibony
Control of Memory, Active Perception, and Action in Minecraft
Junhyuk Oh, Valliappa Chockalingam, Satinder et al.
Convolutional Rectifier Networks as Generalized Tensor Decompositions
Nadav Cohen, Amnon Shashua
Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm
Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
Correcting Forecasts with Multifactor Neural Attention
Matthew Riemer, Aditya Vempaty, Flavio Calmon et al.
Correlation Clustering and Biclustering with Locally Bounded Errors
Gregory Puleo, Olgica Milenkovic
Cross-Graph Learning of Multi-Relational Associations
Hanxiao Liu, Yiming Yang
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine et al.
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control
Prashanth L.A., Cheng Jie, Michael Fu et al.
Data-driven Rank Breaking for Efficient Rank Aggregation
Ashish Khetan, Sewoong Oh
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
Philip Thomas, Emma Brunskill
DCM Bandits: Learning to Rank with Multiple Clicks
Sumeet Katariya, Branislav Kveton, Csaba Szepesvari et al.
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data
Andrew Lan, Tom Goldstein, Richard Baraniuk et al.
Deconstructing the Ladder Network Architecture
Mohammad Pezeshki, Linxi Fan, Philemon Brakel et al.