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Andrea Simonetto

MAPL: Model Agnostic Peer-to-peer Learning

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Mar 28, 2024
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Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts

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Dec 07, 2023
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Achievement and Fragility of Long-term Equitability

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Jun 24, 2022
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Personalized incentives as feedback design in generalized Nash equilibrium problems

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Mar 24, 2022
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Learning equilibria with personalized incentives in a class of nonmonotone games

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Nov 06, 2021
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OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression

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May 27, 2021
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Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization

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Apr 24, 2020
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Optimization and Learning with Information Streams: Time-varying Algorithms and Applications

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Oct 17, 2019
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Inexact Online Proximal-gradient Method for Time-varying Convex Optimization

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Oct 04, 2019
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Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise

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Sep 10, 2018
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