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02/11/2019
Efficient Primal-Dual Algorithms for Large-Scale Multiclass Classification
We develop efficient algorithms to train ℓ_1-regularized linear classifi...
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02/08/2019
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions
In this work we provide an estimator for the covariance matrix of a heav...
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02/08/2019
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance
We consider learning methods based on the regularization of a convex emp...
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10/16/2018
Finite-sample Analysis of M-estimators using Self-concordance
We demonstrate how self-concordance of the loss can be exploited to obta...
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06/11/2018
Adaptive Denoising of Signals with Shift-Invariant Structure
We study the problem of discrete-time signal denoising, following the li...
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03/29/2018