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Frank Schneider's academic website. Based on [*folio](https://github.com/bogoli/-folio) design.
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Frank Schneider
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Frank Schneider Toggle navigation About Me (current) Publications Code Teaching Events Contact Frank Schneider Postdoc | University of Tübingen | Methods of Machine Learning (MoML) Hi, I’m Frank! I’m a postdoctoral researcher at the University of Tübingen in the Methods of Machine Learning group , led by Philipp Hennig . I’m also a chair of the Algorithms working group at MLCommons. My research focuses on efficient and user-friendly training methods for machine learning . I’m particularly interested in eliminating tedious hyperparameters (e.g., learning rates, schedules) to automate neural network training and make deep learning more accessible. A key aspect of my work is designing rigorous and meaningful benchmarks for training methods, such as AlgoPerf . Previously, I earned my PhD in Computer Science from the University of Tübingen, supervised by Philipp Hennig, as part of the IMPRS-IS (International Max Planck Research School for Intelli...
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