Papers
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury, Aditya Gopalan
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution
Po-Wei Chou, Daniel Maturana, Sebastian Scherer
On Relaxing Determinism in Arithmetic Circuits
Arthur Choi, Adnan Darwiche
MEC: Memory-efficient Convolution for Deep Neural Network
Minsik Cho, Daniel Brand
Algorithms for ℓ_p Low-Rank Approximation
Flavio Chierichetti, Sreenivas Gollapudi, Ravi Kumar et al.
Nearly Optimal Robust Matrix Completion
Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
Learning to Aggregate Ordinal Labels by Maximizing Separating Width
Guangyong Chen, Shengyu Zhang, Di Lin et al.
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability
Zhehui Chen, Lin F. Yang, Chris Junchi Li et al.
Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data
Xixian Chen, Michael R. Lyu, Irwin King
Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables
Bryant Chen, Daniel Kumor, Elias Bareinboim
Learning to Learn without Gradient Descent by Gradient Descent
Yutian Chen, Matthew W. Hoffman, Sergio Gómez Colmenarejo et al.
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
Yichen Chen, Dongdong Ge, Mengdi Wang et al.
Dueling Bandits with Weak Regret
Bangrui Chen, Peter I. Frazier
Adaptive Multiple-Arm Identification
Jiecao Chen, Xi Chen, Qin Zhang et al.
Robust Structured Estimation with Single-Index Models
Sheng Chen, Arindam Banerjee
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Yevgen Chebotar, Karol Hausman, Marvin Zhang et al.
Active Heteroscedastic Regression
Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference
Aditya Chaudhry, Pan Xu, Quanquan Gu
Multiple Clustering Views from Multiple Uncertain Experts
Yale Chang, Junxiang Chen, Michael H. Cho et al.
Sliced Wasserstein Kernel for Persistence Diagrams
Mathieu Carrière, Marco Cuturi, Steve Oudot
“Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions
Yair Carmon, John C. Duchi, Oliver Hinder et al.
Second-Order Kernel Online Convex Optimization with Adaptive Sketching
Daniele Calandriello, Alessandro Lazaric, Michal Valko
Priv’IT: Private and Sample Efficient Identity Testing
Bryan Cai, Constantinos Daskalakis, Gautam Kamath
Multi-objective Bandits: Optimizing the Generalized Gini Index
Róbert Busa-Fekete, Balázs Szörényi, Paul Weng et al.
Deep Tensor Convolution on Multicores
David Budden, Alexander Matveev, Shibani Santurkar et al.