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08/19/2023
Dynamic Bilevel Learning with Inexact Line Search
In various domains within imaging and data science, particularly when ad...
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01/11/2023
Analyzing Inexact Hypergradients for Bilevel Learning
Estimating hyperparameters has been a long-standing problem in machine l...
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08/25/2022
A simplified convergence theory for Byzantine resilient stochastic gradient descent
In distributed learning, a central server trains a model according to up...
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11/06/2020
Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization
Many machine learning solutions are framed as optimization problems whic...
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07/26/2020
Scalable Derivative-Free Optimization for Nonlinear Least-Squares Problems
Derivative-free - or zeroth-order - optimization (DFO) has gained recent...
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06/23/2020
