Cambridge – Tübingen PhD Fellowships in Machine Learning

Max Planck Institutes, Germany

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    Latest News
    Google Summer of Code and Turing.jl
    We’re happy to announce that Turing.jl, a probabilistic programming language in Julia which started out here in CBL, is also participating in this year’s Google Summer of Code (GSoC) as part of the “The Julia Language”!
    Mar 22, 2023
    9 papers with MLG authors to appear at ICLR 2020 and AISTATS 2020
    6 papers with MLG authors will appear at ICLR 2020 in Addis Ababa, Ethiopia. Jonathan Gordon*, Wessel Bruinsma*, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard Turner Convolutional Conditional Neural Processes (oral)
    Feb 23, 2020
    10 papers with MLG authors to appear at NeurIPS 2019

    10 papers with MLG authors will appear at NeurIPS 2019 in Vancouver, Canada.

    James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner


    Sep 19, 2019
    12 papers with MLG authors appeared at ICML 2019
    Permalink 12 papers with MLG authors appeared at ICML 2019 in Long Beach, CA, USA. David R. Burt, Carl E. Rasmussen and Mark van der Wilk Rates of Convergence for Sparse Variational Gaussian Process Regression (Best Paper Award)
    Sep 19, 2019
    Best Paper Award at ICML 2019
    Congratulations to our PhD student David R. Burt, Prof. Carl E. Rasmussen and our PhD alumnus Mark van der Wilk (now at PROWLER.io) for receiving a Best Paper Award at ICML 2019 in Long Beach, CA, USA, for their paper Rates of Convergence for Sparse Variational Gaussian Process Regression (Paper)!
    Sep 19, 2019
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    TAUGHT COURSES
    3F3: Signal and  Pattern Processing

    Taught by Zoubin Ghahramani. Course web page .


    4F10: Statistical Pattern Processing

    Taught by Mark Gales. Course web page .


    4F13: Machine Learning

    Taught by Zoubin Ghahramani and Carl Rasmussen. Course web page .


    PREVIOUS EVENTS

    The 2009 Machine Learning Summer School  was held in Cambridge on August 29th – September 10th.
    Machine Learning Reading Group @ CUED
    Machine Learning Seminar Group
    Advanced Tutorial Lecture Series on Machine Learning
    Non-Parametric Bayes Tutorial Course (October 9, 16 and 28, 2008)


    Bayesian statistics in other labs

    Machine Learning and Perception Group  @ Microsoft Research Cambridge

    Chris Bishop  | Tom Minka

    Statistical Laboratory

    Phil Dawid  | Richard Samworth  | David Spiegelhalter

    Computer Lab

    Sean Holden

    Signal Processing and Communications  @ CUED

    Simon Godsill  | Sumeetpal Singh


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