Martin Takac

Best Publications

• Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function

  Peter Richtárik;Martin Takáč

  811
  Citations

• Parallel coordinate descent methods for big data optimization

  Peter Richtárik;Martin Takáč

  515
  Citations

• SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient

  Lam M. Nguyen;Jie Liu;Katya Scheinberg;Martin Takáč

  408
  Citations

• Communication-Efficient Distributed Dual Coordinate Ascent

  Martin Jaggi;Virginia Smith;Martin Takac;Jonathan Terhorst

  358
  Citations

• Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting

  Jakub Konecny;Jie Liu;Peter Richtarik;Martin Takac

  327
  Citations

• CoCoA: A General Framework for Communication-Efficient Distributed Optimization

  Virginia Smith;Simone Forte;Chenxin Ma;Martin Takáč

  251
  Citations

• Distributed coordinate descent method for learning with big data

  Peter Richtárik;Martin Takáč

  230
  Citations

• Distributed optimization with arbitrary local solvers

  Chenxin Ma;Jakub Konečný;Martin Jaggi;Virginia Smith

  205
  Citations

• Mini-Batch Primal and Dual Methods for SVMs

  Martin Takac;Avleen Bijral;Peter Richtarik;Nati Srebro

  185
  Citations

• Adding vs. Averaging in Distributed Primal-Dual Optimization

  Chenxin Ma;Virginia Smith;Martin Jaggi;Michael Jordan

  165
  Citations

• Distributed Learning with Compressed Gradient Differences.

  Konstantin Mishchenko;Eduard A. Gorbunov;Martin Takác;Peter Richtárik

  152
  Citations

• SGD and Hogwild! Convergence Without the Bounded Gradients Assumption

  Lam M. Nguyen;Phuong Ha Nguyen;Marten van Dijk;Peter Richtárik

  147
  Citations

• Reinforcement Learning for Solving the Vehicle Routing Problem

  Unknown

  135
  Citations

• On Optimal Probabilities in Stochastic Coordinate Descent Methods

  Peter Richtárik;Martin Takáč

  114
  Citations

• Mini-Batch Primal and Dual Methods for SVMs

  Martin Takáč;Avleen Bijral;Peter Richtárik;Nathan Srebro

  98
  Citations

• Stochastic Recursive Gradient Algorithm for Nonconvex Optimization

  Lam M. Nguyen;Jie Liu;Katya Scheinberg;Martin Takác

  98
  Citations

• Efficient Serial and Parallel Coordinate Descent Methods for Huge-Scale Truss Topology Design

  Peter Richtárik;Martin Takáč

  92
  Citations

• Stochastic reformulations of linear systems: Algorithms and convergence theory

  Peter Richtárik;Martin Takáč

  90
  Citations

• SDNA: stochastic dual Newton ascent for empirical risk minimization

  Zheng Qu;Peter Richtárik;Martin Takáč;Olivier Fercoq

  89
  Citations

• Communication-Efficient Distributed Dual Coordinate Ascent

  Martin Jaggi;Virginia Smith;Martin Takáč;Jonathan Terhorst

  87
  Citations