Statistical Machine Learning Group

University College London

The Statistical Machine Learning group is a research group at UCL’s Centre for Artificial Intelligence. Our research expertise is in data-efficient machine learning, probabilistic modeling, and autonomous decision making.

If you are interested in joining the Statistical Machine Learning group, please check out our openings.

Recent & Upcoming Talks

Michael Lutter

2020-02-20 10:00 — 11:00 AI Centre, UCL

Marc Deisenroth

Vincent Adam: Doubly Sparse Variational Gaussian Processes

The use of Gaussian process models is typically limited to datasets with a few tens of thousands of observations due to their …

2019-10-31 10:00 — 11:00 AI Centre, UCL

Marc Deisenroth

Samuel Kaski: Probabilistic Modelling with Experts

I will discuss multiple-data-source prediction and modelling problems arising in a number of fields, for instance in omics-based …

2019-10-04 10:30 — 11:30 LT 139 (Huxley), Imperial College London

Marc Deisenroth

Christian Walder: New Tricks for Estimating Gradients of Expectations

We derive a family of Monte Carlo estimators for gradients of expectations, which is related to the log-derivative trick, but involves …

2019-09-30 11:00 — 12:00 LT 130 (Huxley), Imperial College London

Marc Deisenroth

Emtiyaz Khan: Learning-Algorithms from Bayesian Principle

In machine learning, new learning algorithms are designed by borrowing ideas from optimization and statistics followed by an extensive …

2019-09-16 14:00 — 15:00 Huxley LT 144, Imperial College London

Riccardo Moriconi, Marc Deisenroth

People

Principal Investigators

Marc Deisenroth

DeepMind Chair in Artificial Intelligence

Machine learning, Signal processing, Control, Robotics

Postdoctoral Researchers

K. S. Sesh Kumar

Research Associate

PhD Students

Alexander Terenin

PhD Student

James Wilson

PhD Student

Janith Petangoda

PhD Student

Riccardo Moriconi

PhD Student

Samuel Cohen

PhD Student

Sanket Kamthe

PhD Student

Simon Olofsson

PhD Student

Steindór Sæmundsson

PhD Student

Machine, Meta learning

Visitors

Rasmus Larsen

Intern

Alumni

Benjamin Chamberlain

PhD (10/2014 - 08/2018)

Hugh Salimbeni

PhD (10/2015-10/2019)

Featured Publications

Marc P. Deisenroth, A. Aldo Faisal, Cheng Soon Ong

2020-01-01

Mathematics for Machine Learning

Gianfranco Bertone, Marc P. Deisenroth, Jong S. Kim, Sebastian Liem, Roberto Ruiz de Austri, Max Welling

2019-03-01 Physics of the Dark Universe

Accelerating the BSM Interpretation of LHC Data with Machine Learning

James T. Wilson, Frank Hutter, Marc P. Deisenroth

2018-12-01 Advances in Neural Information Processing Systems (NeurIPS)

Maximizing Acquisition Functions for Bayesian Optimization

Steindór Sæmundsson, Katja Hofmann, Marc P. Deisenroth

2018-08-01 Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI)

Meta Reinforcement Learning with Latent Variable Gaussian Processes

Sanket Kamthe, Marc P. Deisenroth

2018-04-01 Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)

Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control

Recent News

Research Fellow/Senior Research Fellow position in Machine Learning for Climate Science

We are looking for a (Senior) Research Fellow at the intersection of climate science and machine learning.

Marc Deisenroth

Last updated on 2019-11-17 1 min read

Welcome to the team, Rasmus

Rasmus Larsen visits SML

Marc Deisenroth

Last updated on 2019-10-22 1 min read

Dr. Salimbeni

Marc Deisenroth

Last updated on 2019-10-07 1 min read

Welcome to the team, Samuel

Samuel Cohen joins SML

Marc Deisenroth

Last updated on 2019-10-01 1 min read

Three papers accepted at Bayesian Deep Learning NeurIPS workshop

Marc Deisenroth

Last updated on 2019-10-07 1 min read