6 citations · 17 across the 12 of their papers we have counts for
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stat.ML2019★ 2 cited
Efficient Primal-Dual Algorithms for Large-Scale Multiclass Classification
Dmitry Babichev, Dmitrii Ostrovskii, Francis Bach
We develop efficient algorithms to train -regularized linear classifiers with large dimensionality of the feature space, number of classes , and sample size . Our…
math.ST2019★ 6 cited
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions
Dmitrii Ostrovskii, Alessandro Rudi
In this work we provide an estimator for the covariance matrix of a heavy-tailed multivariate distributionWe prove that the proposed estimator admits an \tex…
cs.LG2019★ 4 cited
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance
Ulysse Marteau-Ferey, Dmitrii Ostrovskii, Francis Bach +1
We consider learning methods based on the regularization of a convex empirical risk by a squared Hilbertian norm, a setting that includes linear predictors and non-linear predictor…