Co-occurring keywords · papers mentioning both
Papers
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression
COLT 2024
Computational-Statistical Gaps in Gaussian Single-Index Models (Extended Abstract)
COLT 2024
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps
COLT 2024
Detection-Recovery and Detection-Refutation Gaps via Reductions from Planted Clique
COLT 2023
Exponential Hardness of Reinforcement Learning with Linear Function Approximation
COLT 2023
Computational-Statistical Gap in Reinforcement Learning
COLT 2022
Statistical and Computational Phase Transitions in Group Testing
COLT 2022
More data speeds up training time in learning halfspaces over sparse vectors
NeurIPS 2013