Anton Rodomanov
Anton Rodomanov
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TitleCited byYear
Putting MRFs on a tensor train
A Novikov, A Rodomanov, A Osokin, D Vetrov
International Conference on Machine Learning, 811-819, 2014
A superlinearly-convergent proximal newton-type method for the optimization of finite sums
A Rodomanov, D Kropotov
International Conference on Machine Learning, 2597-2605, 2016
Primal-dual method for searching equilibrium in hierarchical congestion population games
P Dvurechensky, A Gasnikov, E Gasnikova, S Matsievsky, A Rodomanov, ...
arXiv preprint arXiv:1606.08988, 2016
Smoothness parameter of power of Euclidean norm
A Rodomanov, Y Nesterov
arXiv preprint arXiv:1907.12346, 2019
A Randomized Coordinate Descent Method with Volume Sampling
A Rodomanov, D Kropotov
arXiv preprint arXiv:1904.04587, 2019
Linear Coupling of Gradient and Mirror Descent: Version for Composite Functions with Adaptive Estimation of the Lipschitz Constant
A Rodomanov
A Newton-type Incremental Method with a Superlinear Convergence Rate
A Rodomanov, D Kropotov
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Articles 1–7