A Nearly Tight Bound for Fitting an Ellipsoid to Gaussian Random Points

Small Covers for Near-Zero Sets of Polynomials and Learning Latent Variable Models

The Sample Complexity of Robust Covariance Testing

A New Approach for Testing Properties of Discrete Distributions

Degree-

Non-Gaussian Component Analysis via Lattice Basis Reduction

Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise

List-decodable robust mean estimation and learning mixtures of spherical gaussians

Learning geometric concepts with nasty noise

Sharp Bounds for Generalized Uniformity Testing