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Session
Orals & Spotlights Track 25: Probabilistic Models/Statistics
Marc Deisenroth · Matthew D. Hoffman
Thu Dec 10 06:00 AM -- 09:00 AM (PST) @ None
Author Information
Marc Deisenroth (University College London)
Professor Marc Deisenroth is the DeepMind Chair in Artificial Intelligence at University College London and the Deputy Director of UCL's Centre for Artificial Intelligence. He also holds a visiting faculty position at the University of Johannesburg and Imperial College London. Marc's research interests center around data-efficient machine learning, probabilistic modeling and autonomous decision making. Marc was Program Chair of EWRL 2012, Workshops Chair of RSS 2013, EXPO-Co-Chair of ICML 2020, and Tutorials Co-Chair of NeurIPS 2021. In 2019, Marc co-organized the Machine Learning Summer School in London. He received Paper Awards at ICRA 2014, ICCAS 2016, and ICML 2020. He is co-author of the book [Mathematics for Machine Learning](https://mml-book.github.io) published by Cambridge University Press (2020).
Matthew D. Hoffman (Google)
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2020 Poster: Matérn Gaussian Processes on Riemannian Manifolds »
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2019 : Invited Talk - Marc Deisenroth »
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2018 Poster: Gaussian Process Conditional Density Estimation »
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2018 Poster: Maximizing acquisition functions for Bayesian optimization »
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2018 Poster: Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language »
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2018 Poster: Orthogonally Decoupled Variational Gaussian Processes »
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2017 : Panel: On the Foundations and Future of Approximate Inference »
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2017 Poster: Doubly Stochastic Variational Inference for Deep Gaussian Processes »
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2017 Poster: Identification of Gaussian Process State Space Models »
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2015 : Applications of Bayesian Optimization to Systems »
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2015 Workshop: Advances in Approximate Bayesian Inference »
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2014 Workshop: Advances in Variational Inference »
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2014 Workshop: Novel Trends and Applications in Reinforcement Learning »
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2013 Workshop: Advances in Machine Learning for Sensorimotor Control »
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2012 Poster: Expectation Propagation in Gaussian Process Dynamical Systems »
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2010 Spotlight: Online Learning for Latent Dirichlet Allocation »
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