| SARAH: A novel method for machine learning problems using stochastic recursive gradient LM Nguyen, J Liu, K Scheinberg, M Takáč International conference on machine learning, 2613-2621, 2017 | 662 | 2017 |
| Mini-batch semi-stochastic gradient descent in the proximal setting J Konečný, J Liu, P Richtárik, M Takáč IEEE Journal of Selected Topics in Signal Processing 10 (2), 242-255, 2015 | 333 | 2015 |
| Stochastic recursive gradient algorithm for nonconvex optimization LM Nguyen, J Liu, K Scheinberg, M Takáč arXiv preprint arXiv:1705.07261, 2017 | 113 | 2017 |
| Anomaly detection in manufacturing systems using structured neural networks J Liu, J Guo, P Orlik, M Shibata, D Nakahara, S Mii, M Takáč 2018 13th world congress on intelligent control and automation (wcica), 175-180, 2018 | 64 | 2018 |
| System and method for predicting power plant operational parameters utilizing artificial neural network deep learning methodologies J Liu, I Akrotirianakis, A Chakraborty US Patent App. 14/867,380, 2017 | 31 | 2017 |
| Hybrid methods in solving alternating-current optimal power flows J Liu, AC Liddell, J Mareček, M Takáč IEEE Transactions on Smart Grid 8 (6), 2988-2998, 2017 | 19 | 2017 |
| Anomaly Detection in Manufacturing Systems Using Structured Neural Networks J Guo, J Liu, P Orlik US Patent App. 15/938,411, 2019 | 18 | 2019 |
| A coordinate-descent algorithm for tracking solutions in time-varying optimal power flows J Liu, J Marecek, A Simonetta, M Takač 2018 Power Systems Computation Conference (PSCC), 1-7, 2018 | 18 | 2018 |
| On the acceleration of l-bfgs with second-order information and stochastic batches J Liu, Y Rong, M Takác, J Huang arXiv preprint arXiv:1807.05328, 2018 | 4 | 2018 |
| Maintenance event planning using adaptive predictive methodologies I Akrotirianakis, A Chakraborty, J Liu US Patent App. 14/849,649, 2017 | 4 | 2017 |
| Projected semi-stochastic gradient descent method with mini-batch scheme under weak strong convexity assumption J Liu, M Takáč Modeling and Optimization: Theory and Applications: MOPTA, Bethlehem, PA …, 2017 | 4 | 2017 |
| Optimal power flow pursuit in the alternating current model J Liu, A Bellon, A Simonetto, M Takac, J Marecek arXiv preprint arXiv:2211.02939, 2022 | 2 | 2022 |
| Accelerating distributed stochastic L-BFGS by sampled 2nd Order Information J Liu, Y Rong, M Takáč, J Huang Beyond first order methods in ML@ NeurIPS, 2019 | 2 | 2019 |
| Recent Advances in Randomized Methods for Big Data Optimization J Liu Ph.D. Dissertation, 2019 | | 2019 |
| Mini-BatchSemi-StochasticGradient DescentintheProximalSetting J Konecný, J Liu, P Richtárik, M Takáˇc | | |
Martin TakáčMohamed bin Zayed University of Artificial Intelligence (MBZUAI)在 mbzuai.ac.ae 的电子邮件经过验证
