Shahin Shahrampour

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Ali JadbabaieJR East Professor of Engineering, MITPatvirtintas el. paštas mit.edu
Alexander RakhlinProfessor, MITPatvirtintas el. paštas mit.edu
Ting-Jui ChangNortheastern UniversityPatvirtintas el. paštas northeastern.edu
Alfredo GarciaTexas A&M UniversityPatvirtintas el. paštas tamu.edu
Yinsong WangPostdoctoral Fellow, Georgia Institute of TechnologyPatvirtintas el. paštas gatech.edu
Shixiang ChenUniversity of Science and Technology of ChinaPatvirtintas el. paštas ustc.edu.cn
Youbang SunPhD student, Northeastern University, Texas A&M UniversityPatvirtintas el. paštas northeastern.edu
Soheil KolouriComputer Science, Vanderbilt University, Nashville, TNPatvirtintas el. paštas vanderbilt.edu
Umut SimsekliINRIA - École Normale SupérieurePatvirtintas el. paštas inria.fr
Kimia NadjahiCNRS - ENS ParisPatvirtintas el. paštas di.ens.fr
Ahmad BeiramiGoogle DeepMindPatvirtintas el. paštas google.com
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstitutePatvirtintas el. paštas ttic.edu
Victor M. PreciadoUniversity of PennsylvaniaPatvirtintas el. paštas seas.upenn.edu
Aryan MokhtariUniversity of Texas at AustinPatvirtintas el. paštas austin.utexas.edu
Alejandro RibeiroUniversity of PennsylvaniaPatvirtintas el. paštas seas.upenn.edu
Rui TuoTexas A&M UniversityPatvirtintas el. paštas tamu.edu
Mohammad NoshadHarvard UniversityPatvirtintas el. paštas seas.harvard.edu
Mingyi HongAssociate Professor, University of Minnesota; Amazon ScholarPatvirtintas el. paštas umn.edu
Liang DingFudan UniversityPatvirtintas el. paštas fudan.edu.cn
M. Amin RahimianUniversity of PittsburghPatvirtintas el. paštas pitt.edu

Stebėti

Shahin Shahrampour

Assistant Professor, Northeastern University

Patvirtintas el. paštas northeastern.edu - Pagrindinis puslapis

Optimization and Control Multi-Agent Systems Machine Learning Reinforcement Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Online Optimization: Competing with Dynamic Comparators A Jadbabaie, A Rakhlin, S Shahrampour, K Sridharan Artificial Intelligence and Statistics (AISTATS), 398-406, 2015	328	2015
Distributed Online Optimization in Dynamic Environments Using Mirror Descent S Shahrampour, A Jadbabaie IEEE Transactions on Automatic Control (TAC) 63 (3), 714-725, 2018	323	2018
Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems A Mokhtari, S Shahrampour, A Jadbabaie, A Ribeiro IEEE Conference on Decision and Control (CDC), 7195-7201, 2016	269	2016
Distributed Detection: Finite-time Analysis and Impact of Network Topology S Shahrampour, A Rakhlin, A Jadbabaie IEEE Transactions on Automatic Control (TAC) 61 (11), 3256-3268, 2016	123	2016
Multi-Armed Bandits in Multi-Agent Networks S Shahrampour, A Rakhlin, A Jadbabaie IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017	111	2017
Statistical and Topological Properties of Sliced Probability Divergences K Nadjahi, A Durmus, L Chizat, S Kolouri, S Shahrampour, U Şimşekli Advances in Neural Information Processing Systems (NeurIPS), 20802-20812, 2020	98	2020
Topology Identification of Directed Dynamical Networks via Power Spectral Analysis S Shahrampour, VM Preciado IEEE Transactions on Automatic Control (TAC) 60 (8), 2260-2265, 2015	98	2015
Exponentially Fast Parameter Estimation in Networks Using Distributed Dual Averaging S Shahrampour, A Jadbabaie IEEE Conference on Decision and Control (CDC), 6196-6201, 2013	87	2013
Finite-Time Guarantees for Byzantine-Resilient Distributed State Estimation with Noisy Measurements L Su, S Shahrampour IEEE Transactions on Automatic Control (TAC) 65 (9), 3758 - 3771, 2020	76	2020
On Optimal Generalizability in Parametric Learning A Beirami, M Razaviyayn, S Shahrampour, V Tarokh Advances in Neural Information Processing Systems (NIPS), 3455-3465, 2017	69	2017
Online Learning of Dynamic Parameters in Social Networks S Shahrampour, S Rakhlin, A Jadbabaie Advances in Neural Information Processing Systems (NIPS), 2013-2021, 2013	53	2013
On Distributed Nonconvex Optimization: Projected Subgradient Method for Weakly Convex Problems in Networks S Chen, A Garcia, S Shahrampour IEEE Transactions on Automatic Control (TAC) 67 (2), 662-675, 2022	43	2022
On Sequential Elimination Algorithms For Best-Arm Identification in Multi-Armed Bandits S Shahrampour, M Noshad, V Tarokh IEEE Transactions on Signal Processing (TSP) 65 (16), 4281-4292, 2017	43	2017
Decentralized Riemannian Gradient Descent on the Stiefel Manifold S Chen, A Garcia, M Hong, S Shahrampour International Conference on Machine Learning (ICML), 1594-1605, 2021	42	2021
Learning without Recall by Random Walks on Directed Graphs MA Rahimian, S Shahrampour, A Jadbabaie IEEE Conference on Decision and Control (CDC), 5538-5543, 2015	30	2015
On Data-Dependent Random Features for Improved Generalization in Supervised Learning S Shahrampour, A Beirami, V Tarokh AAAI Conference on Artificial Intelligence (AAAI), 4026-4033, 2018	29	2018
Reconstruction of Directed Networks from Consensus Dynamics S Shahrampour, VM Preciado American Control Conference (ACC), 1685-1690, 2013	29	2013
An Online Optimization Approach for Multi-Agent Tracking of Dynamic Parameters in the Presence of Adversarial Noise S Shahrampour, A Jadbabaie American Control Conference (ACC), 3306-3311, 2017	28	2017
On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems TJ Chang, S Shahrampour AAAI Conference on Artificial Intelligence (AAAI), 6966-6973, 2021	24*	2021
Switching to Learn S Shahrampour, MA Rahimian, A Jadbabaie American Control Conference (ACC), 2918-2923, 2015	19	2015

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