Co-occurring keywords · papers mentioning both
Papers
On efficient robust regression with subquadratic samples
COLT 2026
Quiet Planting for k-SAT, Multiple Solutions of Arbitrary Geometry
COLT 2026
Improved Hardness Results for Learning Intersections of Halfspaces
COLT 2024
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations
COLT 2024
Matching the Statistical Query Lower Bound for k-Sparse Parity Problems with Sign Stochastic Gradient Descent
NeurIPS 2024
Reliable Learning of Halfspaces under Gaussian Marginals
NeurIPS 2024
Statistical Query Lower Bounds for Learning Truncated Gaussians
COLT 2024
SQ Lower Bounds for Learning Mixtures of Linear Classifiers
NeurIPS 2023
SQ Lower Bounds for Random Sparse Planted Vector Problem
ALT 2023
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
NeurIPS 2022
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
NeurIPS 2022
SQ Lower Bounds for Learning Single Neurons with Massart Noise
NeurIPS 2022
Statistical Query Lower Bounds for Tensor PCA
JMLR 2021
Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks
COLT 2020
Gradient Descent for One-Hidden-Layer Neural Networks: Polynomial Convergence and SQ Lower Bounds
COLT 2019