Aryan Mokhtari

Geciteerd door

	Alles	Sinds 2019
Citaties	8906	8247
h-index	41	39
i10-index	80	72

2300

1150

575

1725

201520162017201820192020202120222023202423 143 212 257 456 718 1108 1614 2018 2290

Openbare toegang

Alles bekijken

69 artikelen

0 artikelen

beschikbaar

niet beschikbaar

Op basis van financieringsmachtigingen

Medeauteurs

Alejandro RibeiroUniversity of PennsylvaniaGeverifieerd e-mailadres voor seas.upenn.edu
Hamed HassaniUniversity of Pennsylvania (EE, CS, Stat)Geverifieerd e-mailadres voor seas.upenn.edu
Asuman OzdaglarMathworks Professor, EECS, MITGeverifieerd e-mailadres voor mit.edu
Ramtin PedarsaniAssociate Professor, Electrical and Computer Engineering, UC Santa BarbaraGeverifieerd e-mailadres voor ece.ucsb.edu
Liam CollinsSnapGeverifieerd e-mailadres voor utexas.edu
Alireza FallahUC BerkeleyGeverifieerd e-mailadres voor berkeley.edu
Alec KoppelResearch Lead, JP Morgan AI ResearchGeverifieerd e-mailadres voor jpmchase.com
Ali JadbabaieJR East Professor of Engineering, MITGeverifieerd e-mailadres voor mit.edu
Amirhossein ReisizadehPostdoctoral Associate, MITGeverifieerd e-mailadres voor mit.edu
Amin KarbasiRobust Intelligence, Yale University (on leave)Geverifieerd e-mailadres voor yale.edu
Qing LingSchool of Computer Science and Engineering, Sun Yat-Sen UniversityGeverifieerd e-mailadres voor mail.sysu.edu.cn
Ruichen JiangUniversity of Texas at AustinGeverifieerd e-mailadres voor utexas.edu
Mark EisenJohns Hopkins Applied Physics LaboratoryGeverifieerd e-mailadres voor jhuapl.edu
Sarath PattathilMITGeverifieerd e-mailadres voor mit.edu
Wei (Wilbur) ShiPostdoctoral Research Associate, Princeton UniversityGeverifieerd e-mailadres voor princeton.edu
Andrea SimonettoENSTA ParisGeverifieerd e-mailadres voor ensta-paris.fr
Geert LeusFull Professor at Delft University of Technology (TU Delft)Geverifieerd e-mailadres voor tudelft.nl
Isidoros TziotisPhD, University of Texas at AustinGeverifieerd e-mailadres voor utexas.edu
Qiujiang JinUniversity of Texas at AustinGeverifieerd e-mailadres voor austin.utexas.edu
Erfan Yazdandoost HamedaniAssistant Professor, Systems and Industrial Engineering, University of ArizonaGeverifieerd e-mailadres voor arizona.edu

Volgen

Aryan Mokhtari

University of Texas at Austin

Geverifieerd e-mailadres voor austin.utexas.edu - Homepage

Optimization Machine Learning


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach A Fallah, A Mokhtari, A Ozdaglar Advances in neural information processing systems 33, 3557-3568, 2020	1588*	2020
Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization A Reisizadeh, A Mokhtari, H Hassani, A Jadbabaie, R Pedarsani International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020	886	2020
Exploiting Shared Representations for Personalized Federated Learning L Collins, H Hassani, A Mokhtari, S Shakkottai International Conference on Machine Learning (ICML), 2021	759	2021
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach A Mokhtari, A Ozdaglar, S Pattathil International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020	381	2020
Federated learning with compression: Unified analysis and sharp guarantees F Haddadpour, MM Kamani, A Mokhtari, M Mahdavi International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021	311	2021
Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems A Mokhtari, S Shahrampour, A Jadbabaie, A Ribeiro Decision and Control (CDC), 2016 IEEE 55th Conference on, 7195-7201, 2016	269	2016
On the convergence theory of gradient-based model-agnostic meta-learning algorithms A Fallah, A Mokhtari, A Ozdaglar International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020	266	2020
Global Convergence of Online Limited Memory BFGS A Mokhtari, A Ribeiro Journal of Machine Learning Research 16, 3151-3181, 2015	230	2015
Network Newton Distributed Optimization Methods A Mokhtari, Q Ling, A Ribeiro IEEE Transactions on Signal Processing 65 (1), 146-161, 2017	204	2017
RES: Regularized Stochastic BFGS Algorithm A Mokhtari, A Ribeiro IEEE Transactions on Signal Processing 62 (23), 6089-6104, 2014	204	2014
DSA: Decentralized double stochastic averaging gradient algorithm A Mokhtari, A Ribeiro Journal of Machine Learning Research 17 (1), 2165-2199, 2016	201	2016
Convergence rate of O (1/k) for optimistic gradient and extra-gradient methods in smooth convex-concave saddle point problems A Mokhtari, A Ozdaglar, S Pattathil SIAM Journal on Optimization 30 (4), 3230-3251, 2020	165*	2020
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization A Simonetto, A Mokhtari, A Koppel, G Leus, A Ribeiro IEEE Transactions on Signal Processing 64 (17), 4576-4591, 2016	163	2016
Decentralized Quasi-Newton Methods M Eisen, A Mokhtari, A Ribeiro IEEE Transactions on Signal Processing 65 (10), 2613 - 2628, 2017	147	2017
An exact quantized decentralized gradient descent algorithm A Reisizadeh, A Mokhtari, H Hassani, R Pedarsani IEEE Transactions on Signal Processing 67 (19), 4934-4947, 2019	146	2019
DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers A Mokhtari, W Shi, Q Ling, A Ribeiro IEEE Transactions on Signal Processing 64 (19), 5158-5173, 2016	146	2016
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization A Mokhtari, W Shi, Q Ling, A Ribeiro IEEE Transactions on Signal and Information Processing over Networks 2 (4 …, 2016	144	2016
Stochastic conditional gradient methods: From convex minimization to submodular maximization A Mokhtari, H Hassani, A Karbasi Journal of Machine Learning Research 21 (105), 1-49, 2020	133	2020
Straggler-resilient federated learning: Leveraging the interplay between statistical accuracy and system heterogeneity A Reisizadeh, I Tziotis, H Hassani, A Mokhtari, R Pedarsani IEEE Journal on Selected Areas in Information Theory 3 (2), 197-205, 2022	130	2022
Direct Runge-Kutta Discretization Achieves Acceleration J Zhang, A Mokhtari, S Sra, A Jadbabaie Advances in Neural Information Processing Systems (NeurIPS), 2018	123	2018

Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.

Artikelen 1–20

Citaties per jaar

Dubbele citaties

Samengevoegde citaties

Medeauteurs toevoegenMedeauteurs

Volgen

Geciteerd door

Medeauteurs