Get started
Author

Martin Takáč

Observed names: M. Takáč, MARTIN TAKÁC, Martin Takac, Martin Takác, Takac, Martin, Takáč, Martin
Observed institutions: University of Canterbury, Lehigh University, Mohamed bin Zayed University of Artificial Intelligence, King Abdullah University of Science and Technology, Comenius University Bratislava, Zayed University, University of Edinburgh
ORCID: 0000-0001-7455-2025
Observed ORCID: 0000-0001-7455-2025
OpenAlex ID: A5070679093
Reinforcement Learning for Solving the Vehicle Routing Problem
2018 · Nazari, Mohammadreza, Oroojlooy, Afshin, et al. · arXiv (Cornell University) · 746
PDF
Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function
2012 · Peter Richtárik, Martin Takáč · Mathematical Programming · 662
PDF
Parallel coordinate descent methods for big data optimization
2015 · Peter Richtárik, Martin Takáč · Mathematical Programming · 419
PDF
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
2017 · Nguyen, Lam M., Liu, Jie, et al. · arXiv (Cornell University) · 352
PDF
A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization
2021 · Afshin Oroojlooyjadid, MohammadReza Nazari, et al. · Manufacturing & Service Operations Management · 322
PDF
Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting
2015 · Jakub Konecny, Jie Liu, et al. · IEEE Journal of Selected Topics in Signal Processing · 268
PDF
CoCoA: A General Framework for Communication-Efficient Distributed Optimization
2016 · Smith, Virginia, Forte, Simone, et al. · arXiv (Cornell University) · 221
PDF
Distributed learning with compressed gradient differences
2024 · K. Mishchenko, E. Gorbunov, et al. · Optimization methods & software · 220
PDF
Communication-Efficient Distributed Dual Coordinate Ascent
2014 · Jaggi, Martin, Smith, Virginia, et al. · arXiv (Cornell University) · 209
PDF
Distributed optimization with arbitrary local solvers
2017 · Chenxin Ma, Jakub Konečný, et al. · Optimization methods & software · 191
PDF
Distributed Coordinate Descent Method for Learning with Big Data
2013 · Richtárik, Peter, Takáč, Martin · Edinburgh Research Explorer (University of Edinburgh) · 186
Applying deep learning to the newsvendor problem
2019 · Afshin Oroojlooyjadid, Lawrence V. Snyder, et al. · IISE Transactions · 181
PDF
Mini-Batch Primal and Dual Methods for SVMs
2013 · Takáč, Martin, Bijral, Avleen, et al. · arXiv (Cornell University) · 128
PDF
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
2018 · Nguyen, Lam M., Nguyen, Phuong Ha, et al. · arXiv (Cornell University) · 127
PDF
Adding vs. Averaging in Distributed Primal-Dual Optimization
2015 · Ma, Chenxin, Smith, Virginia, et al. · arXiv (Cornell University) · 110
PDF
Convolutional Neural Network Approach for Robust Structural Damage Detection and Localization
2019 · Nur Sila Gulgec, Martin Takáč, et al. · Journal of Computing in Civil Engineering · 104
On optimal probabilities in stochastic coordinate descent methods
2015 · Peter Richtárik, Martin Takáč · Optimization Letters · 100
PDF
Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
2017 · Nguyen, Lam M., Liu, Jie, et al. · arXiv (Cornell University) · 98
PDF
DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction
2020 · Soheil Sadeghi Eshkevari, Martin Takáč, et al. · Engineering Structures · 96
PDF
Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment
2020 · Nur Sila Gulgec, Martin Takáč, et al. · Computer-Aided Civil and Infrastructure Engineering · 95
Modal Identification of Bridges Using Mobile Sensors with Sparse Vibration Data
2020 · Soheil Sadeghi Eshkevari, Shamim N. Pakzad, et al. · Journal of Engineering Mechanics · 77
Improving Text-to-Image Synthesis Using Contrastive Learning
2021 · Hui Ye, Xiulong Yang, et al. · British Machine Vision Conference (BMVC) · 71
PDF
Quasi-Newton methods for machine learning: forget the past, just sample
2021 · A. S. Berahas, M. Jahani, et al. · Optimization methods & software · 67
PDF
A Multi-Batch L-BFGS Method for Machine Learning
2016 · Berahas, Albert S., Nocedal, Jorge, et al. · arXiv (Cornell University) · 63
PDF
Structural Damage Detection Using Convolutional Neural Networks
2017 · Nur Sila Gulgec, Martin Takáč, et al. · Conference proceedings of the Society for Experimental Mechanics · 61
Works count: 186
Citation count: 6,613
H-index: 34
I10-index: 70
Year
Topic
Type