Angelia Nedich

21 papers A* 3B 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generalized Smooth Stochastic Variational Inequalities: Almost Sure Convergence and Convergence Rates.
Trans. Mach. Learn. Res.
Daniil Vankov, Angelia Nedich, Lalitha Sankar
2025 A* conf
Optimizing (L0, L1)-Smooth Functions by Gradient Methods.
ICLR
Daniil Vankov, Anton Rodomanov, Angelia Nedich, Lalitha Sankar, Sebastian U. Stich
2025 J jnl
Preface for the special issue advances in distributed optimization.
Optim. Methods Softw.
Alexander V. Gasnikov, Angelia Nedich
2024 J jnl
Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks.
CoRR
Duong Thuy Anh Nguyen, Su Wang, Duong Tung Nguyen, Angelia Nedich, H. Vincent Poor
2024 A* conf
Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes.
ICML
Daniil Vankov, Angelia Nedich, Lalitha Sankar
2024 J jnl
On Characterizations of Potential and Ordinal Potential Games.
CoRR
Sina Arefizadeh, Angelia Nedich, Gautam Dasarathy
2023 J jnl
Characterization of Potential Games: Application in Aggregative Games.
CoRR
Sina Arefizadeh, Angelia Nedich
2023 J jnl
CrowdCache: A Decentralized Game-Theoretic Framework for Mobile Edge Content Sharing.
CoRR
Duong Thuy Anh Nguyen, Jiaming Cheng, Duong Tung Nguyen, Angelia Nedich
2023 J jnl
Geometric Convergence of Distributed Heavy-Ball Nash Equilibrium Algorithm over Time-Varying Digraphs with Unconstrained Actions.
CoRR
Duong Thuy Anh Nguyen, Duong Tung Nguyen, Angelia Nedich
2023 — conf
Learning Trust Over Directed Graphs in Multiagent Systems.
L4DC
Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedich
2022 J jnl
Differentially-private Distributed Algorithms for Aggregative Games with Guaranteed Convergence.
CoRR
Yongqiang Wang, Angelia Nedich
2021 J jnl
A Smooth Inexact Penalty Reformulation of Convex Problems with Linear Constraints.
SIAM J. Optim.
Tatiana Tatarenko, Angelia Nedich
2021 B conf
Support Estimation with Sampling Artifacts and Errors.
ISIT
Eli Chien, Olgica Milenkovic, Angelia Nedich
2020 J jnl
Support Estimation with Sampling Artifacts and Errors.
CoRR
Eli Chien, Olgica Milenkovic, Angelia Nedich
2018 J jnl
A Push-Pull Gradient Method for Distributed Optimization in Networks.
CoRR
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedich
2018 A* conf
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters.
NeurIPS
Pavel E. Dvurechenskii, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedich
2016 — conf
A geometrically convergent method for distributed optimization over time-varying graphs.
CDC
Angelia Nedich, Alex Olshevsky, Wei Shi
2015 — conf
A fully distributed dual gradient method with linear convergence for large-scale separable convex problems.
ECC
Ion Necoara, Angelia Nedich
2015 J jnl
Convergence Rate of Distributed Averaging Dynamics and Optimization in Networks.
Found. Trends Syst. Control.
Angelia Nedich
2015 — conf
Foreword.
Allerton
Angelia Nedich, Minh N. Do
2012 J jnl
Distributed Random Projection Algorithm for Convex Optimization.
CoRR
Soomin Lee, Angelia Nedich