P. Ostroukhov

发表

Near-optimal tensor methods for minimizing gradient norm

César A. Uribe, P. Dvurechensky, A. Gasnikov, 2020 .

Self-concordant analysis of Frank-Wolfe algorithms-Supplementary Material-

P. Dvurechensky, Shimrit Shtern, Mathias Staudigl, 2020 .

Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal-dual tensor methods

César A. Uribe, P. Dvurechensky, A. Gasnikov, 2019, 1912.03381.

Self-concordant analysis of Frank-Wolfe algorithms

P. Dvurechensky, Shimrit Shtern, Mathias Staudigl, 2020, ICML.

Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities

P. Dvurechensky, A. Gasnikov, P. Ostroukhov, 2020, Computer Research and Modeling.

Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal-dual tensor methods

César A. Uribe, P. Dvurechensky, A. Gasnikov, 2019, 1912.03381.

Near-optimal tensor methods for minimizing the gradient norm of convex function

César A. Uribe, P. Dvurechensky, A. Gasnikov, 2020 .

Near-optimal tensor methods for minimizing the gradient norm of convex function

César A. Uribe, P. Dvurechensky, A. Gasnikov, 2020 .

Fake News Spreader Detection using Neural Tweet Aggregation

Aleksandr Ogaltsov, P. Ostroukhov, O. Bakhteev, 2020, CLEF.

AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size

A. Gasnikov, D. Kamzolov, P. Ostroukhov, 2024, ArXiv.