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Yurii Nesterov
Y Nesterov Introductory Lecture Notes on Convex Optimization
Prizes and Awards Session
Iteration Parallel Algorithm for Optimal Transport
Arxiv:1411.2129V1 [Math.OC]
A Primal-Dual Interior-Point Algorithm for Nonsymmetric Exponential-Cone Optimization
Acta Numerica on Firstorder Algorithms for L 1/Nuclear Norm
Universal Intermediate Gradient Method for Convex Problems with Inexact Oracle
68 OP14 Abstracts
Yurii Nesterov
Low-Rank Semidefinite Programming: Theory And
Newsletter 18 of EUROPT
Conference Book
Sparsity in Image Processing and Machine Learning: Modeling, Computation and Theory
Faster Algorithms for High Dimensional Convex Optimization Jakub Pachocki
On the Effectiveness of Richardson Extrapolation in Machine Learning
Offline and Online Optimization in Machine Learning
Spectral Functions and Smoothing Techniques on Jordan Algebras
Integer Programming
Top View
General Hölder Smooth Convergence Rates Follow from Specialized Rates Assuming Growth Bounds
Programming (ISMP 2015), the Most Important Meeting of the Mathematical Optimization Society (MOS)
Curriculum Vitae
Accelerated Extra-Gradient Descent: a Novel Accelerated First-Order Method∗
Geometric Median in Nearly Linear Time
Convex Optimization Based on Global Lower Second-Order Models
Interior-Point Algorithms for Convex Optimization Based on Primal-Dual Metrics
Algorithms for Abstracting and Solving Imperfect Information Games
Learning to Optimize Via Dual Space Preconditioning
Readingsample
I. Education: II. Title of Doctoral Thesis III. Principal Fields of Research Interests: IV. Other S.S.M. Faculty in Same Field
Online Algorithm Design Via Smoothing with Application to Online Experiment Selection
Accelerated Mirror Descent in Continuous and Discrete Time
Dr. Pavel Dvurechensky – Curriculum Vitae