A recent line of work in high-dimensional statistics working under the Gaussian mixture
hypothesis has led to a number of results in the context of empirical risk minimization …

A recent line of work in high-dimensional statistics working under the Gaussian mixture
hypothesis has led to a number of results in the context of empirical risk minimization …

Let $(x_ {i}, y_ {i}) _ {i= 1,\dots, n} $ denote independent samples from a general mixture
distribution $\sum_ {c\in\mathcal {C}}\rho_ {c} P_ {c}^{x} $, and consider the hypothesis class …

A recent line of work in high-dimensional statistics working under the Gaussian mixture
hypothesis has led to a number of results in the context of empirical risk minimization …

Let (xi, yi) i= 1,..., n denote independent samples from a general mixture distribution c∈ C ρ
c P xc, and consider the hypothesis class of generalized linear models ŷ= F (Θ x). In this …

Abstract Let $(x_ {i}, y_ {i}) _ {i= 1,\dots, n} $ denote independent samples from a general
mixture distribution $\sum_ {c\in\mathcal {C}}\rho_ {c} P_ {c}^{x} $, and consider the …

Abstract Let (xi, yi) i= 1,..., n denote independent samples from a general mixture
distribution∑ c∈ C ρcPx c, and consider the hypothesis class of generalized linear models …

A recent line of work in high-dimensional statistics working under the Gaussian mixture
hypothesis has led to a number of results in the context of empirical risk minimization …