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By Zachary C. Lipton* & Jacob Steinhardt* *equal authorship Originally presented at ICML 2018: Machine Learning Debates [arXiv link] Published in Communications of the ACM 1 Introduction Collectively, machine learning (ML) researchers are engaged in
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[AI summary] The ML4A Virtual Workshop explores how machine learning enhances classical algorithms through data-driven approaches, featuring talks on deep generative models, model-based deep learning, and learning-augmented algorithms.
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The International Conference on Machine Learning (ICML) is one of the top machine learning conferences in the world. Paper Digest Team analyzes all papers published on ICML in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically constructed ba
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An in-depth practical guide to variational encoders from a probabilistic perspective.
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