Alexander V. Nazin

Affiliations:
  • Russian Academy of Sciences, Trapeznikov Institute of Control Sciences, Moscow, Russia


According to our database1, Alexander V. Nazin authored at least 30 papers between 1992 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Integral Sliding Mode Convex Optimization in Uncertain Lagrangian Systems Driven by PMDC Motors: Averaged Subgradient Approach.
IEEE Trans. Autom. Control., 2021

2019
Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method.
Autom. Remote. Control., 2019

Projectional Learning Laws for Differential Neural Networks Based on Double-Averaged Sub-Gradient Descent Technique.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018
Algorithms of Inertial Mirror Descent in Convex Problems of Stochastic Optimization.
Autom. Remote. Control., 2018

2017
Algorithms of Inertial Mirror Descent in Stochastic Convex Optimization Problems.
Proceedings of the Analytical and Computational Methods in Probability Theory, 2017

2016
Saddle point mirror descent algorithm for the robust PageRank problem.
Autom. Remote. Control., 2016

2015
Adaptive mirror descent algorithm for the minimization of expected cumulative losses driven by a renewal process.
Proceedings of the 14th European Control Conference, 2015

2014
L 1-optimal linear programming estimator for periodic frontier functions with Hölder continuous derivative.
Autom. Remote. Control., 2014

A mirror descent algorithm for minimization of mean Poisson flow driven losses.
Autom. Remote. Control., 2014

Application of the Mirror Descent Method to minimize average losses coming by a poisson flow.
Proceedings of the 13th European Control Conference, 2014

2013
Robust Mirror Decent Algorithm for a Multi-Armed Bandit Governed by a Stationary Finite Markov Chain.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013

Mirror decent algorithm for a multi-armed bandit governed by a stationary finite state Markov chain.
Proceedings of the 12th European Control Conference, 2013

Extension of a saddle point mirror descent algorithm with application to robust PageRank.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

On effectiveness of the Mirror Decent Algorithm for a stochastic multi-armed bandit governed by a stationary finite Markov chain.
Proceedings of the 2013 Australian Control Conference, Fremantle, WA, 2013

2011
The mirror descent control algorithm for weakly regular homogeneous finite Markov chains with unknown mean losses.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Estimating the principal eigenvector of a stochastic matrix: Mirror Descent Algorithms via game approach with application to PageRank problem.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Adaptive randomized algorithm for finding eigenvector of stochastic matrix with application to PageRank.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A randomized algorithm for finding eigenvector of stochastic matrix with application to PageRank problem.
Proceedings of the IEEE International Conference on Control Applications, 2009

2006
Remark on "Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging" published in <i>Probl. Peredachi Inf.</i>, 2005, no. 4.
Probl. Inf. Transm., 2006

Rejection of Bounded Disturbances via Invariant Ellipsoids Technique.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging.
Probl. Inf. Transm., 2005

Nonlinear system identification via direct weight optimization.
Autom., 2005

Generalization Error Bounds for Aggregation by Mirror Descent with Averaging.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Observer matrix gain optimization for stochastic continuous time nonlinear systems.
Syst. Control. Lett., 2004

2003
Local modelling with a priori known bounds using direct weight optimization.
Proceedings of the 7th European Control Conference, 2003

2002
Asymptotically optimal smoothing of averaged LMS estimates for regression parameter tracking.
Autom., 2002

A non-asymptotic approach to local modelling.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Suboptimal robust asymptotic observer for stochastic continuous time nonlinear system: numerical procedure and convergence analysis.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

1998
Minimax lower bound for time-varying frequency estimation of harmonic signal.
IEEE Trans. Signal Process., 1998

1992
Optimal and robust kernel algorithms for passive stochastic approximation.
IEEE Trans. Inf. Theory, 1992


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