Network Newton-Part II: Convergence Rate and Implementation
Aryan Mokhtari , Alejandro Ribeiro , Qing Ling
arXiv: Optimization and Control
25
2015
Network Newton-Part I: Algorithm and Convergence
Aryan Mokhtari , Alejandro Ribeiro , Qing Ling
arXiv: Optimization and Control
29
2015
Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization
Geert Leus , Aryan Mokhtari , Alejandro Ribeiro , Alec Koppel
arXiv: Optimization and Control
1
2016
Network Newton
Aryan Mokhtari , Alejandro Ribeiro , Qing Ling
asilomar conference on signals, systems and computers
11
2014
Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems
Ali Jadbabaie , Shahin Shahrampour , Aryan Mokhtari , Alejandro Ribeiro
arXiv: Learning
15
2016
Doubly Random Parallel Stochastic Methods for Large Scale Learning
Aryan Mokhtari , Alejandro Ribeiro , Alec Koppel
arXiv: Learning
2
2016
A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization
Aryan Mokhtari , Mark Eisen , Alejandro Ribeiro
arXiv: Optimization and Control
2
2016
A Decentralized Second-Order Method for Dynamic Optimization
Aryan Mokhtari , Alejandro Ribeiro , Qing Ling , Wei Shi
arXiv: Optimization and Control
2016
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
Aryan Mokhtari , Alejandro Ribeiro
arXiv: Learning
1
2016
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning
Aryan Mokhtari , Alejandro Ribeiro , Alec Koppel
arXiv: Learning
10
2016
Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate
Aryan Mokhtari , Alejandro Ribeiro , Mert Gürbüzbalaban
arXiv: Optimization and Control
3
2016
IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate
Aryan Mokhtari , Mark Eisen , Alejandro Ribeiro
arXiv: Optimization and Control
6
2017
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method
Aryan Mokhtari , Mark Eisen , Alejandro Ribeiro
10
2017
A Second Order Method for Nonconvex Optimization
Santiago Paternain , Aryan Mokhtari , Alejandro Ribeiro
2
2017
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
Aryan Mokhtari , Alejandro Ribeiro
arXiv: Learning
4
2017
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap
Aryan Mokhtari , Amin Karbasi , Hamed Hassani
arXiv: Optimization and Control
5
2017
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings
Aryan Mokhtari , Amin Karbasi , Hamed Hassani
arXiv: Optimization and Control
9
2018
Direct Runge-Kutta Discretization Achieves Acceleration
Ali Jadbabaie , Aryan Mokhtari , Suvrit Sra , Jingzhao Zhang
arXiv: Optimization and Control
11
2018
3
2017
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication
Aryan Mokhtari , Peilin Zhao , Hui Qian , Tengfei Zhou
arXiv: Machine Learning
5
2018