Search Results - "Nedić, Angelia"

An accelerated distributed stochastic gradient method with momentum.

Authors: Huang, Kun Pu, Shi Nedić, Angelia

Source: Mathematical Programming; Jan2026, Vol. 215 Issue 1/2, p193-236, 44p

AB/Push-Pull method for distributed optimization in time-varying directed networks.

Authors: Nedić, Angelia Nguyen, Duong Thuy Anh Nguyen, Duong Tung

Source: Optimization Methods & Software; Oct2025, Vol. 40 Issue 5, p1044-1071, 28p

Correction: An accelerated distributed stochastic gradient method with momentum.

Authors: Huang, Kun Pu, Shi Nedić, Angelia

Source: Mathematical Programming; Jan2026, Vol. 215 Issue 1/2, p859-861, 3p

On existence of solutions to nonconvex minimization problems.

Authors: Rele, Rohan Nedić, Angelia

Source: Journal of Global Optimization; Dec2025, Vol. 93 Issue 4, p1027-1051, 25p

Minibatch stochastic subgradient-based projection algorithms for feasibility problems with convex inequalities.

Authors: Necoara, Ion Nedić, Angelia

Source: Computational Optimization & Applications; Sep2021, Vol. 80 Issue 1, p121-152, 32p

Accelerating incremental gradient optimization with curvature information.

Authors: Wai, Hoi-To Shi, Wei Uribe, César A. et al.

Source: Computational Optimization & Applications; Jun2020, Vol. 76 Issue 2, p347-380, 34p

Distributed stochastic gradient tracking methods.

Authors: Pu, Shi Nedić, Angelia

Source: Mathematical Programming; May2021, Vol. 187 Issue 1/2, p409-457, 49p

A dual approach for optimal algorithms in distributed optimization over networks.

Authors: Uribe, César A. Lee, Soomin Gasnikov, Alexander et al.

Source: Optimization Methods & Software; Feb2021, Vol. 36 Issue 1, p171-210, 40p

A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization.

Authors: Jalilzadeh, Afrooz Nedić, Angelia Shanbhag, Uday V. et al.

Source: Mathematics of Operations Research (INFORMS). Feb2022, Vol. 47 Issue 1, p690-719. 30p.

Distributed Algorithms for Aggregative Games on Graphs.

Authors: Koshal, Jayash Nedić, Angelia Shanbhag, Uday V.

Source: Operations Research. May/Jun2016, Vol. 64 Issue 3, p680-704. 25p.

Online Discrete Optimization in Social Networks in the Presence of Knightian Uncertainty.

Authors: Raginsky, Maxim Nedić, Angelia

Source: Operations Research. May/Jun2016, Vol. 64 Issue 3, p662-679. 18p.

Random Minibatch Subgradient Algorithms for Convex Problems with Functional Constraints.

Authors: Nedić, Angelia Necoara, Ion

Source: Applied Mathematics & Optimization. Dec2019, Vol. 80 Issue 3, p801-833. 33p.

MULTIUSER OPTIMIZATION: DISTRIBUTED ALGORITHMS AND ERROR ANALYSIS.

Authors: KOSHAL, JAYASH NEDIĆ, ANGELIA SHANBHAG, UDAY V.

Source: SIAM Journal on Optimization; 2011, Vol. 21 Issue 3, p1046-1081, 36p

Distributed constrained optimization algorithms with linear convergence rate over time-varying unbalanced graphs.

Authors: Liu, Hongzhe Yu, Wenwu Zheng, Wei Xing et al.

Source: Automatica; Jan2024, Vol. 159, pN.PAG-N.PAG, 1p

Dynamics based privacy preservation in decentralized optimization.

Authors: Gao, Huan Wang, Yongqiang Nedić, Angelia

Source: Automatica; May2023, Vol. 151, pN.PAG-N.PAG, 1p

Multi-competitive viruses over time-varying networks with mutations and human awareness.

Authors: Paré, Philip E. Liu, Ji Beck, Carolyn L. et al.

Source: Automatica; Jan2021, Vol. 123, pN.PAG-N.PAG, 1p

Lagrangian relaxation of the generic materials and operations planning model.

Authors: Rius-Sorolla, G. Maheut, J. Coronado-Hernandez, Jairo R. et al.

Source: Central European Journal of Operations Research. Mar2020, Vol. 28 Issue 1, p105-123. 19p.