Symbolic Regression and Program Induction: Lars Buesing
Автор: Sydney Mathematical Research Institute - SMRI
Загружено: 2022-06-02
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Описание:
Machine Learning for the Working Mathematician: Week Fourteen
2 June 2022
Lars Buesing, Searching for Formulas and Algorithms: Symbolic Regression and Program Induction
Abstract: In spite of their enormous success as black box function approximators in many fields such as computer vision, natural language processing and automated decision making, Deep Neural Networks often fall short of providing interpretable models of data. In applications where aiding human understanding is the main goal, describing regularities in data with compact formuli promises improved interpretability and better generalization. In this talk I will introduce the resulting problem of Symbolic Regression and its generalization to Program Induction, highlight some learning methods from the literature and discuss challenges and limitations of searching for algorithmic descriptions of data.
Seminar series homepage: https://sites.google.com/view/mlwm-se...
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