Chenxin Ma

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Risk Minimization

Top Venues

J. Mach. Learn. Res.

Optim. Methods Softw.

Publications

Guoli Wang, Chenxin Ma
Analysis of procurement strategies in a two-period fresh product supply chain. Kybernetes 53 (4) (2024)
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) (2023)
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) (2022)
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) (2021)
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) (2021)
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)
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 (2018)
Chenxin Ma, Martin Takác
Distributed Inexact Damped Newton Method: Data Partitioning and Work-Balancing. AAAI Workshops (2017)
Chenxin Ma, Martin Jaggi, Frank E. Curtis, Nathan Srebro, Martin Takác
An Accelerated Communication-Efficient Primal-Dual Optimization Framework for Structured Machine Learning. CoRR (2017)
Chenxin Ma, Naga Venkata C. Gudapati, Majid Jahani, Rachael Tappenden, Martin Takác
Underestimate Sequences via Quadratic Averaging. CoRR (2017)
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 (2017)
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) (2017)
Chenxin Ma, Rachael Tappenden, Martin Takác
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption. J. Mach. Learn. Res. 17 (2016)
Virginia Smith, Simone Forte, Chenxin Ma, Martin Takác, Michael I. Jordan, Martin Jaggi
CoCoA: A General Framework for Communication-Efficient Distributed Optimization. CoRR (2016)
Chenxin Ma, Martin Takác
Distributed Inexact Damped Newton Method: Data Partitioning and Load-Balancing. CoRR (2016)
Chenxin Ma, Jakub Konecný, Martin Jaggi, Virginia Smith, Michael I. Jordan, Peter Richtárik, Martin Takác
Distributed Optimization with Arbitrary Local Solvers. CoRR (2015)
Chenxin Ma, Virginia Smith, Martin Jaggi, Michael I. Jordan, Peter Richtárik, Martin Takác
Adding vs. Averaging in Distributed Primal-Dual Optimization. ICML (2015)
Chenxin Ma, Martin Takác
Partitioning Data on Features or Samples in Communication-Efficient Distributed Optimization? CoRR (2015)
Chenxin Ma, Rachael Tappenden, Martin Takác
Linear Convergence of the Randomized Feasible Descent Method Under the Weak Strong Convexity Assumption. CoRR (2015)
Chenxin Ma, Virginia Smith, Martin Jaggi, Michael I. Jordan, Peter Richtárik, Martin Takác
Adding vs. Averaging in Distributed Primal-Dual Optimization. CoRR (2015)