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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…
stat.ML2018★ 9 cited
Constant Step Size Stochastic Gradient Descent for Probabilistic Modeling
Dmitry Babichev, Francis Bach
Stochastic gradient methods enable learning probabilistic models from large amounts of data. While large step-sizes (learning rates) have shown to be best for least-squares (e.g.,…