We study the complexity of learning mixtures of separated Gaussians with...
We study principal component analysis (PCA), where given a dataset in
ℝ^...
We study the problem of list-decodable Gaussian covariance estimation. G...
We study the problem of list-decodable sparse mean estimation. Specifica...
We study the problem of high-dimensional sparse mean estimation in the
p...
We study high-dimensional robust statistics tasks in the streaming model...
We study the problem of list-decodable linear regression, where an adver...
We study the problem of agnostic learning under the Gaussian distributio...