Papers
Contextual Memory Trees
Wen Sun, Alina Beygelzimer, Hal Daumé Iii et al.
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model
Gi-Soo Kim, Myunghee Cho Paik
Control Regularization for Reduced Variance Reinforcement Learning
Richard Cheng, Abhinav Verma, Gabor Orosz et al.
Convolutional Poisson Gamma Belief Network
Chaojie Wang, Bo Chen, Sucheng Xiao et al.
Co-Representation Network for Generalized Zero-Shot Learning
Fei Zhang, Guangming Shi
Coresets for Ordered Weighted Clustering
Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer et al.
Correlated bandits or: How to minimize mean-squared error online
Vinay Praneeth Boda, Prashanth L.A.
Correlated Variational Auto-Encoders
Da Tang, Dawen Liang, Tony Jebara et al.
CoT: Cooperative Training for Generative Modeling of Discrete Data
Sidi Lu, Lantao Yu, Siyuan Feng et al.
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models
Michael Oberst, David Sontag
Counterfactual Visual Explanations
Yash Goyal, Ziyan Wu, Jan Ernst et al.
Cross-Domain 3D Equivariant Image Embeddings
Carlos Esteves, Avneesh Sud, Zhengyi Luo et al.
Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty
Youngjin Kim, Wontae Nam, Hyunwoo Kim et al.
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Cédric Colas, Pierre Fournier, Mohamed Chetouani et al.
Curvature-Exploiting Acceleration of Elastic Net Computations
Vien Mai, Mikael Johansson
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu, Jie Chen, Tian Gao et al.
Data Poisoning Attacks on Stochastic Bandits
Fang Liu, Ness Shroff
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani, James Zou
DBSCAN++: Towards fast and scalable density clustering
Jennifer Jang, Heinrich Jiang
Dead-ends and Secure Exploration in Reinforcement Learning
Mehdi Fatemi, Shikhar Sharma, Harm Van Seijen et al.
Decentralized Exploration in Multi-Armed Bandits
Raphael Feraud, Reda Alami, Romain Laroche
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
Anastasia Koloskova, Sebastian Stich, Martin Jaggi
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models
Kaspar Märtens, Kieran Campbell, Christopher Yau
Deep Compressed Sensing
Yan Wu, Mihaela Rosca, Timothy Lillicrap
Deep Counterfactual Regret Minimization
Noam Brown, Adam Lerer, Sam Gross et al.