BLASSO Extends Mixture Recovery to Unknown Diagonal Covariances
A continuous sparse estimator recovers Gaussian mixture weights, means, and diagonal scales under explicit separation, with near-parametric prediction rates.
Jul 28, 20265 min2509.12889
2 articles on SOTA Papers
A continuous sparse estimator recovers Gaussian mixture weights, means, and diagonal scales under explicit separation, with near-parametric prediction rates.
A BBGKY argument couples entropy and Fisher-information inequalities to extend Lacker’s chaos method to smooth mean-field diffusions.
