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  • title: Contributed talk: High-dimensional Bayesian optimization using low-dimensional feature spaces
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            Contributed talk: High-dimensional Bayesian optimization using low-dimensional feature spaces
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            Contributed talk: High-dimensional Bayesian optimization using low-dimensional feature spaces

            Dez 13, 2019

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            Riccardo Moriconi

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            Extending on the workshop’s success from the past 3 years, this workshop will study the developments in the field of Bayesian deep learning (BDL) over the past year. The workshop will be a platform to host the recent flourish of ideas using Bayesian approaches in deep learning, and using deep learning tools in Bayesian modelling. The program includes a mix of invited talks, contributed talks, and contributed posters. Future directions for the field will be debated in a panel discussion. While de…

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            NIPS 2019

            Konto · 951 Follower:innen

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            KI und Datenwissenschaft

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            Über NIPS 2019

            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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