Martin Takac

Martin Takac publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Martin Takac sits on this spectrum.

Martin Takac D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Martin Takac sits on this spectrum.

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