Optimization and Learning with Information Streams: Time-varying
Algorithms and Applications

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Optimization and Learning with Information Streams: Time-varying Algorithms and Applications

17 October 2019

E. Dall’Anese

Andrea Simonetto

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Papers citing "Optimization and Learning with Information Streams: Time-varying Algorithms and Applications"

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Title
Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' Shireen Kudukkil Manchingal Andrew Bradley Julian F. P. Kooij Keivan K1 Shariatmadar Neil Yorke-Smith Fabio Cuzzolin 140 1 0 08 May 2025
Online Proximal ADMM for Graph Learning from Streaming Smooth Signals Hector Chahuara Gonzalo Mateos 73 1 0 19 Sep 2024
First-Order Dynamic Optimization for Streaming Convex Costs M. Rostami Hossein Moradian S. S. Kia 77 1 0 11 Oct 2023
Robust Online Learning over Networks Nicola Bastianello D. Deplano M. Franceschelli Karl H. Johansson OffRL 66 4 0 01 Sep 2023
Online Distributed Learning with Quantized Finite-Time Coordination Nicola Bastianello Apostolos I. Rikos Karl H. Johansson FedML 44 3 0 13 Jul 2023
Linear convergence in time-varying generalized Nash equilibrium problems M. Bianchi Emilio Benenati Sergio Grammatico 114 2 0 19 Apr 2023
Personalized incentives as feedback design in generalized Nash equilibrium problems F. Fabiani Andrea Simonetto Paul Goulart 46 4 0 24 Mar 2022
Online Weak-form Sparse Identification of Partial Differential Equations Daniel Messenger E. Dall’Anese David M. Bortz 87 13 0 08 Mar 2022
Stochastic Saddle Point Problems with Decision-Dependent Distributions Killian Wood E. Dall’Anese 50 19 0 07 Jan 2022
Optimization in Open Networks via Dual Averaging Yu-Guan Hsieh F. Iutzeler J. Malick P. Mertikopoulos 55 10 0 27 May 2021
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression Nicola Bastianello Andrea Simonetto E. Dall’Anese 53 3 0 27 May 2021
Sparse Representations of Positive Functions via First and Second-Order Pseudo-Mirror Descent A. Chakraborty K. Rajawat Alec Koppel 44 3 0 13 Nov 2020
tvopt: A Python Framework for Time-Varying Optimization Nicola Bastianello 53 11 0 12 Nov 2020
Boosting One-Point Derivative-Free Online Optimization via Residual Feedback Yan Zhang Yi Zhou Kaiyi Ji Michael M. Zavlanos 48 9 0 14 Oct 2020
GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization Guido Carnevale Francesco Farina Ivano Notarnicola G. Notarstefano 72 24 0 03 Sep 2020
Extrapolation-based Prediction-Correction Methods for Time-varying Convex Optimization Nicola Bastianello R. Carli Andrea Simonetto 28 8 0 24 Apr 2020
Dynamic Federated Learning Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 108 25 0 20 Feb 2020
Centralized and distributed online learning for sparse time-varying optimization S. Fosson 34 21 0 31 Jan 2020