引用次数
引用: 7,590
H-指数: 39
I10-指数 : 74
出版物: 109
Global convergence of online limited memory BFGS
Aryan Mokhtari , Alejandro Ribeiro
Journal of Machine Learning Research 16 ( 1) 3151 -3181
100
2015
DSA: decentralized double stochastic averaging gradient algorithm
Aryan Mokhtari , Alejandro Ribeiro
Journal of Machine Learning Research 17 ( 1) 2165 -2199
176
2016
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization
Aryan Mokhtari , Wei Shi , Qing Ling , Alejandro Ribeiro
arXiv: Optimization and Control
110
2016
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization
Aryan Mokhtari , Amin Karbasi , Hamed Hassani
arXiv: Optimization and Control
96
2018
Escaping Saddle Points in Constrained Optimization
Asuman E. Ozdaglar , Ali Jadbabaie , Aryan Mokhtari
neural information processing systems 31 3629 -3639
22
2018
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy
Dheevatsa Mudigere , Martin Takáč , Aryan Mokhtari , Chenxin Ma
arXiv: Learning
26
2018
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods
Asuman E. Ozdaglar , Ali Jadbabaie , Aryan Mokhtari
international conference on artificial intelligence and statistics 2485 -2494
1
2019
Direct runge-kutta discretization achieves acceleration
Ali Jadbabaie , Aryan Mokhtari , Suvrit Sra , Jingzhao Zhang
neural information processing systems 31 3904 -3913
35
2018
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
Aryan Mokhtari , Aurelien Lucchi , Alejandro Ribeiro , Thomas Hofmann
neural information processing systems 29 4062 -4070
19
2016
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication
Aryan Mokhtari , Peilin Zhao , Hui Qian , Tengfei Zhou
international conference on machine learning 4624 -4633
57
2018
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings
Aryan Mokhtari , Amin Karbasi , Hamed Hassani
international conference on machine learning 3613 -3622
28
2018
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
Aryan Mokhtari , Alejandro Ribeiro
neural information processing systems 30 2060 -2068
4
2017
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
Asuman Ozdaglar , Aryan Mokhtari , Alireza Fallah
arXiv: Learning
163
2019
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
Aryan Mokhtari , Amin Karbasi , Zebang Shen , Hamed Hassani
neural information processing systems 32 13066 -13076
4
2019
Robust and Communication-Efficient Collaborative Learning
Ramtin Pedarsani , Aryan Mokhtari , Amirhossein Reisizadeh , Hamed Hassani
neural information processing systems 32 8388 -8399
34
2019
One Sample Stochastic Frank-Wolfe
Aryan Mokhtari , Amin Karbasi , Zebang Shen , Hamed Hassani
arXiv: Optimization and Control
53
2019
A Decentralized Proximal Point-type Method for Saddle Point Problems.
Asuman E. Ozdaglar , Aryan Mokhtari , Zebang Shen , Sarath Pattathil
arXiv: Optimization and Control
25
2019
Task-Robust Model-Agnostic Meta-Learning
Sanjay Shakkottai , Aryan Mokhtari , Liam Collins
arXiv: Learning
27
2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization.
Amirhossein Reisizadeh , Aryan Mokhtari , Hamed Hassani , Ali Jadbabaie
international conference on artificial intelligence and statistics 2021 -2031
420
2019
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach.
Asuman E. Ozdaglar , Aryan Mokhtari , Sarath Pattathil
international conference on artificial intelligence and statistics 1497 -1507
237
2020