Adding vs. Averaging in Distributed Primal-Dual Optimization. - Chenxin Ma; Virginia Smith; Martin Jaggi; Michael I. Jordan; Peter Richtárik; Martin Takác 001 (ICML, 2015)

Partitioning Data on Features or Samples in Communication-Efficient Distributed Optimization? - Chenxin Ma; Martin Takác 001 (CoRR, 2015)

Linear Convergence of the Randomized Feasible Descent Method Under the Weak Strong Convexity Assumption. - Chenxin Ma; Rachael Tappenden; Martin Takác 001 (CoRR, 2015)

Distributed Inexact Damped Newton Method: Data Partitioning and Load-Balancing. - Chenxin Ma; Martin Takác 001 (CoRR, 2016)

Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption. - Chenxin Ma; Rachael Tappenden; Martin Takác 001 (J. Mach. Learn. Res., 2016)

Distributed Inexact Damped Newton Method: Data Partitioning and Work-Balancing. - Chenxin Ma; Martin Takác 001 (AAAI Workshops, 2017)

Underestimate Sequences via Quadratic Averaging. - Chenxin Ma; Naga Venkata C. Gudapati; Majid Jahani; Rachael Tappenden; Martin Takác 001 (CoRR, 2017)

CoCoA: A General Framework for Communication-Efficient Distributed Optimization. - Virginia Smith; Simone Forte; Chenxin Ma; Martin Takác 001; Michael I. Jordan; Martin Jaggi (J. Mach. Learn. Res., 2017)

Distributed optimization with arbitrary local solvers. - Chenxin Ma; Jakub Konecný; Martin Jaggi; Virginia Smith; Michael I. Jordan; Peter Richtárik; Martin Takác 001 (Optim. Methods Softw., 2017)

Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. - Majid Jahani; Xi He 004; Chenxin Ma; Aryan Mokhtari; Dheevatsa Mudigere; Alejandro Ribeiro; Martin Takác 001 (AISTATS, 2020)

Fast and safe: accelerated gradient methods with optimality certificates and underestimate sequences. - Majid Jahani; Naga Venkata C. Gudapati; Chenxin Ma; Rachael Tappenden; Martin Takác 001 (Comput. Optim. Appl., 2021)

An accelerated communication-efficient primal-dual optimization framework for structured machine learning. - Chenxin Ma; Martin Jaggi; Frank E. Curtis; Nathan Srebro; Martin Takác 001 (Optim. Methods Softw., 2021)

Detecting the Critical States of Type 2 Diabetes Mellitus Based on Degree Matrix Network Entropy by Cross-Tissue Analysis. - Yingke Yang; Zhuanghe Tian; Mengyao Song; Chenxin Ma; Zhenyang Ge; Peiluan Li (Entropy, 2022)

A Practical End-to-End Inventory Management Model with Deep Learning. - Meng Qi; Yuanyuan Shi; Yongzhi Qi; Chenxin Ma; Rong Yuan; Di Wu; Zuo-Jun Max Shen (Manag. Sci., 2023)

Analysis of procurement strategies in a two-period fresh product supply chain. - Guoli Wang 002; Chenxin Ma (Kybernetes, 2024)