オープン アクセスを義務付けられた論文 - Jong-Shi Pang詳細
一般には非公開: 14 件
Two-stage non-cooperative games with risk-averse players
JS Pang, S Sen, UV Shanbhag
Mathematical Programming 165, 235-290, 2017
委任: US National Science Foundation
Enhanced models and improved solution for competitive biofuel supply chain design under land use constraints
Y Bai, Y Ouyang, JS Pang
European Journal of Operational Research 249 (1), 281-297, 2016
委任: US National Science Foundation
VI-constrained hemivariational inequalities: distributed algorithms and power control in ad-hoc networks
F Facchinei, JS Pang, G Scutari, L Lampariello
Mathematical Programming 145 (1), 59-96, 2014
委任: Government of Italy
Multicomposite nonconvex optimization for training deep neural networks
Y Cui, Z He, JS Pang
SIAM Journal on Optimization 30 (2), 1693-1723, 2020
委任: US National Science Foundation, US Department of Defense
Clustering by orthogonal non-negative matrix factorization: A sequential non-convex penalty approach
S Wang, TH Chang, Y Cui, JS Pang
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
委任: National Natural Science Foundation of China
Perfectly competitive capacity expansion games with risk-averse participants
DA Schiro, BF Hobbs, JS Pang
Computational Optimization and Applications 65, 511-539, 2016
委任: US National Science Foundation
Inexact best-response schemes for stochastic Nash games: Linear convergence and iteration complexity analysis
UV Shanbhag, JS Pang, S Sen
2016 IEEE 55th Conference on Decision and Control (CDC), 3591-3596, 2016
委任: US National Science Foundation
Distributed optimization over networks
A Nedić, JS Pang, G Scutari, Y Sun, A Nedić
Multi-agent Optimization: Cetraro, Italy 2014, 1-84, 2018
委任: US National Science Foundation
Risk-based robust statistical learning by stochastic difference-of-convex value-function optimization
J Liu, JS Pang
Operations Research 71 (2), 397-414, 2023
委任: US National Science Foundation, US Department of Defense, National Natural …
Asymptotic properties of stationary solutions of coupled nonconvex nonsmooth empirical risk minimization
Z Qi, Y Cui, Y Liu, JS Pang
Mathematics of Operations Research 47 (3), 2034-2064, 2022
委任: US National Science Foundation, US Department of Defense, US National …
Piecewise affine parameterized value-function based bilevel non-cooperative games
T Hao, JS Pang
Mathematical Programming 180, 33-73, 2020
委任: US National Science Foundation
Some LCPs solvable in strongly polynomial time with Lemke’s algorithm
I Adler, RW Cottle, JS Pang
Mathematical Programming 160, 477-493, 2016
委任: US National Science Foundation
Nonconvex robust programming via value-function optimization
Y Cui, Z He, JS Pang
Computational Optimization and Applications 78 (2), 411-450, 2021
委任: US National Science Foundation, US Department of Defense
Five Lectures on Differential Variational Inequalities
A Nedić, JS Pang, G Scutari, Y Sun, JS Pang
Multi-agent Optimization: Cetraro, Italy 2014, 85-139, 2018
委任: US National Science Foundation
一般公開: 33 件
A unified algorithmic framework for block-structured optimization involving big data: With applications in machine learning and signal processing
M Hong, M Razaviyayn, ZQ Luo, JS Pang
IEEE Signal Processing Magazine 33 (1), 57-77, 2015
委任: Natural Sciences and Engineering Research Council of Canada
Decomposition by partial linearization: Parallel optimization of multi-agent systems
G Scutari, F Facchinei, P Song, DP Palomar, JS Pang
IEEE Transactions on Signal Processing 62 (3), 641-656, 2013
委任: Research Grants Council, Hong Kong
Real and complex monotone communication games
G Scutari, F Facchinei, JS Pang, DP Palomar
IEEE Transactions on Information Theory 60 (7), 4197-4231, 2014
委任: Research Grants Council, Hong Kong
Computing B-stationary points of nonsmooth DC programs
JS Pang, M Razaviyayn, A Alvarado
Mathematics of Operations Research 42 (1), 95-118, 2017
委任: US National Science Foundation
Difference-of-convex learning: directional stationarity, optimality, and sparsity
M Ahn, JS Pang, J Xin
SIAM Journal on Optimization 27 (3), 1637-1665, 2017
委任: US National Science Foundation, US Department of Defense
Parallel and distributed successive convex approximation methods for big-data optimization
A Nedić, JS Pang, G Scutari, Y Sun, G Scutari, Y Sun
Multi-Agent Optimization: Cetraro, Italy 2014, 141-308, 2018
委任: US National Science Foundation, US Department of Defense
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