Bayesian optimization
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Amazon scientist Matthias Seeger receives ICML “test of time” award
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Matthias Seeger, a principal applied scientist in Amazon’s Berlin office, and three coauthors have received the ICML 2020 test of time award for a paper ...

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ICML: “Test of time” paper shows how times have changed
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Amazon researchers have nine new papers at this year’s International Conference on Machine Learning (ICML), one of the top conferences in AI. Matthias ...

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Amazon researchers win best-paper award for helping promote fairness in AI
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Last week, at the seventh Workshop on Automated Machine Learning (AutoML) at the International Conference on Machine Learning, Amazon researchers won a ...

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AWS releases code to help reduce bias in machine learning models
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In recent years, algorithmic bias has become an important research topic in machine learning. Sometimes, because of imbalances in training data or other ...

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The science behind Amazon Prime
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In his 2020 shareholder letter, Jeff Bezos, executive chair of Amazon’s board of directors, shared that more than 200 million people around the world have a ...

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A hyperparameter optimization library for reproducible research
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Recent algorithmic advances and hardware innovations have made it possible to train deep neural networks with billions of parameters. The networks’ ...

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Amazon wins best-paper award at first AutoML conference
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At the first annual Conference on Automated Machine Learning (AutoML), my colleagues and I won a best-paper award for a new way to decide when to terminate ...

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A quick guide to Amazon’s papers at NeurIPS 2023
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The Conference on Neural Information Processing Systems (NeurIPS) takes place this week, and the Amazon papers accepted there touch on a wide range of ...

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