Topml workshop
WebInvited talk at the Workshop on the Theory of Overparameterized Machine Learning (TOPML) 2024. Watch talk. How hard is it to learn from data generated by a probabilistic model? EPFL Lausanne. Watch talk. Statistics and Computations in high dimensions. The Alan Turing Institute. Watch talk. Webingly, TOPML is relevant to diverse model families other than DNNs. The first studies of TOPML were conducted for the linear regression task; accordingly, much of our treatment centers around a comprehensive survey of overparameterized linear regression. How-ever, TOPML goes well beyond the linear regression task.
Topml workshop
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WebWorkshop on the Theory of Overparameterized Machine Learning (TOPML). Antonio H Ribeiro, Thomas B Schön Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics (2024). ... Workshop on Nonlinear System Identification. WebACM Transactions on Probabilistic Machine Learning focuses on probabilistic methods that learn from data to improve performance on decision-making or prediction tasks under …
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