Articles by Vasileios Charisopoulos | Synthical

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12

Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay

21 February 2025 by Hannah Laus and others

Machine Learning, Optimization and Control

Faster Adaptive Optimization via Expected Gradient Outer Product Reparameterization

3 February 2025 by Adela Depavia and others

Machine Learning, Optimization and Control

Nonlinear tomographic reconstruction via nonsmooth optimization

17 July 2024 by Vasileios Charisopoulos and Rebecca Willett

Optimization and Control, Numerical Analysis

Multi-Frequency Progressive Refinement for Learned Inverse Scattering

21 May 2024 by Owen Melia and others

Computational Physics

Robust and differentially private stochastic linear bandits

23 April 2023 by Vasileios Charisopoulos and others

Machine Learning, Cryptography and Security

Reducing Aggregate Electric Vehicle Battery Capacity through Sharing

21 April 2023 by Polina Alexeenko and Vasileios Charisopoulos

Systems and Control, Optimization and Control

Communication-efficient distributed eigenspace estimation with arbitrary node failures

31 May 2022 by Vasileios Charisopoulos and Anil Damle

Machine Learning, Distributed, Parallel, and Cluster Computing

A superlinearly convergent subgradient method for sharp semismooth problems

12 January 2022 by Vasileios Charisopoulos and Damek Davis

Optimization and Control

Communication-efficient distributed eigenspace estimation

30 April 2021 by Vasileios Charisopoulos and others

Machine Learning, Distributed, Parallel, and Cluster Computing

Entrywise convergence of iterative methods for eigenproblems

31 October 2020 by Vasileios Charisopoulos and others

Numerical Analysis, Machine Learning

Incrementally Updated Spectral Embeddings

3 September 2019 by Vasileios Charisopoulos and others

Numerical Analysis, Social and Information Networks

Stochastic algorithms with geometric step decay converge linearly on sharp functions

22 July 2019 by Damek Davis and others

Optimization and Control, Machine Learning

Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence

22 April 2019 by Vasileios Charisopoulos and others

Optimization and Control, Machine Learning

A Tropical Approach to Neural Networks with Piecewise Linear Activations

30 January 2019 by Vasileios Charisopoulos and Petros Maragos

Machine Learning

Composite optimization for robust blind deconvolution

18 January 2019 by Vasileios Charisopoulos and others

Optimization and Control, Machine Learning

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Machine Learning Numerical Analysis Optimization and Control Systems and Control Distributed, Parallel, and Cluster Computing Social and Information Networks Statistics Theory Computational Physics Cryptography and Security