Papers
Compositional Fairness Constraints for Graph Embeddings
Avishek Bose, William Hamilton
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data
Vatsal Sharan, Kai Sheng Tai, Peter Bailis et al.
Compressing Gradient Optimizers via Count-Sketches
Ryan Spring, Anastasios Kyrillidis, Vijai Mohan et al.
Concentration Inequalities for Conditional Value at Risk
Philip Thomas, Erik Learned-Miller
Concrete Autoencoders: Differentiable Feature Selection and Reconstruction
Muhammed Fatih Balın, Abubakar Abid, James Zou
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
Alp Yurtsever, Suvrit Sra, Volkan Cevher
Conditional Independence in Testing Bayesian Networks
Yujia Shen, Haiying Huang, Arthur Choi et al.
Conditioning by adaptive sampling for robust design
David Brookes, Hahnbeom Park, Jennifer Listgarten
Connectivity-Optimized Representation Learning via Persistent Homology
Christoph Hofer, Roland Kwitt, Marc Niethammer et al.
Context-Aware Zero-Shot Learning for Object Recognition
Eloi Zablocki, Patrick Bordes, Laure Soulier et al.
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