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2020 – today
- 2024
[j8]Guoli Wang
, Chenxin Ma:
Analysis of procurement strategies in a two-period fresh product supply chain. Kybernetes 53(4): 1450-1483 (2024)- 2023
- [j7]Meng Qi, Yuanyuan Shi, Yongzhi Qi, Chenxin Ma, Rong Yuan, Di Wu, Zuo-Jun Max Shen:
A Practical End-to-End Inventory Management Model with Deep Learning. Manag. Sci. 69(2): 759-773 (2023) - 2022
- [j6]Yingke Yang, Zhuanghe Tian, Mengyao Song, Chenxin Ma, Zhenyang Ge, Peiluan Li:
Detecting the Critical States of Type 2 Diabetes Mellitus Based on Degree Matrix Network Entropy by Cross-Tissue Analysis. Entropy 24(9): 1249 (2022) - 2021
- [j5]Majid Jahani, Naga Venkata C. Gudapati, Chenxin Ma, Rachael Tappenden, Martin Takác:
Fast and safe: accelerated gradient methods with optimality certificates and underestimate sequences. Comput. Optim. Appl. 79(2): 369-404 (2021) - [j4]Chenxin Ma, Martin Jaggi, Frank E. Curtis, Nathan Srebro, Martin Takác:
An accelerated communication-efficient primal-dual optimization framework for structured machine learning. Optim. Methods Softw. 36(1): 20-44 (2021) - 2020
- [c3]Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takác:
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. AISTATS 2020: 2634-2644
2010 – 2019
- 2018
- [i9]Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takác:
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. CoRR abs/1810.11507 (2018) - 2017
- [j3]Virginia Smith, Simone Forte, Chenxin Ma, Martin Takác, Michael I. Jordan, Martin Jaggi:
CoCoA: A General Framework for Communication-Efficient Distributed Optimization. J. Mach. Learn. Res. 18: 230:1-230:49 (2017) - [j2]Chenxin Ma, Jakub Konecný, Martin Jaggi, Virginia Smith, Michael I. Jordan, Peter Richtárik, Martin Takác:
Distributed optimization with arbitrary local solvers. Optim. Methods Softw. 32(4): 813-848 (2017) - [c2]Chenxin Ma, Martin Takác:
Distributed Inexact Damped Newton Method: Data Partitioning and Work-Balancing. AAAI Workshops 2017 - [i8]Chenxin Ma, Naga Venkata C. Gudapati, Majid Jahani, Rachael Tappenden, Martin Takác:
Underestimate Sequences via Quadratic Averaging. CoRR abs/1710.03695 (2017) - [i7]Chenxin Ma, Martin Jaggi, Frank E. Curtis, Nathan Srebro, Martin Takác:
An Accelerated Communication-Efficient Primal-Dual Optimization Framework for Structured Machine Learning. CoRR abs/1711.05305 (2017) - 2016
- [j1]Chenxin Ma, Rachael Tappenden, Martin Takác:
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption. J. Mach. Learn. Res. 17: 230:1-230:24 (2016) - [i6]Chenxin Ma, Martin Takác:
Distributed Inexact Damped Newton Method: Data Partitioning and Load-Balancing. CoRR abs/1603.05191 (2016) - [i5]Virginia Smith, Simone Forte, Chenxin Ma, Martin Takác, Michael I. Jordan, Martin Jaggi:
CoCoA: A General Framework for Communication-Efficient Distributed Optimization. CoRR abs/1611.02189 (2016) - 2015
- [c1]Chenxin Ma, Virginia Smith, Martin Jaggi, Michael I. Jordan, Peter Richtárik, Martin Takác:
Adding vs. Averaging in Distributed Primal-Dual Optimization. ICML 2015: 1973-1982 - [i4]Chenxin Ma, Virginia Smith, Martin Jaggi, Michael I. Jordan, Peter Richtárik, Martin Takác:
Adding vs. Averaging in Distributed Primal-Dual Optimization. CoRR abs/1502.03508 (2015) - [i3]Chenxin Ma, Rachael Tappenden, Martin Takác:
Linear Convergence of the Randomized Feasible Descent Method Under the Weak Strong Convexity Assumption. CoRR abs/1506.02530 (2015) - [i2]Chenxin Ma, Martin Takác:
Partitioning Data on Features or Samples in Communication-Efficient Distributed Optimization? CoRR abs/1510.06688 (2015) - [i1]Chenxin Ma, Jakub Konecný, Martin Jaggi, Virginia Smith, Michael I. Jordan, Peter Richtárik, Martin Takác:
Distributed Optimization with Arbitrary Local Solvers. CoRR abs/1512.04039 (2015)
Coauthor Index
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