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Foundations and Trends in Machine Learning, Volume 17

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Volume 17, Number 1, 2024

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  - journals/ftml/MontanariS24
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Andrea Montanari, Subhabrata Sen:
A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists. 1-173

Volume 17, Number 2, 2024

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Pierre Alquier:
User-friendly Introduction to PAC-Bayes Bounds. 174-303

Volume 17, Number 3, 2024

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Drago Plecko, Elias Bareinboim:
Causal Fairness Analysis: A Causal Toolkit for Fair Machine Learning. 304-589

Volume 17, Number 4, 2024

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David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. 590-766

Volume 17, Number 5, 2024

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Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
Automated Deep Learning: Neural Architecture Search Is Not the End. 767-920

Volume 17, Number 6, 2024

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George H. Chen:
An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes. 921-1100

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