| 2024/03/15 |
RPTU Kaiserslautern-Landau |
Generalised Variational Inference Meets Bayesian Deep Learning |
slides |
| 2024/03/12 |
Nanyang Technological University, Singapore |
Generalised Variational Inference Meets Bayesian Deep Learning |
slides |
| 2024/02/16 |
University of Sydney Business School |
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models |
slides |
| 2024/02/15 |
Data 61, Sydney |
Generalised Variational Inference Meets Bayesian Deep Learning |
slides |
| 2024/01/05 |
IMS-APRM, Melbourne |
Squared Neural Families of Tractable Densities |
slides |
| 2023/03/09 |
Adelaide Data Science Centre Seminar |
How can machine learning benefit from causal models? |
video |
| 2022/06/01 |
CSIRO’s Machine Learning and Artificial Intelligence Future Science Platform Conference, MARS 2022 (keynote) |
Developments at the Interface Between Kernel Embeddings and Gaussian Processes |
slides, video |
| 2021/12/02 |
Secondmind, Cambridge |
Developments at the Interface Between Kernel Embeddings and Gaussian Processes |
video |
| 2019/06/19 |
London Machine Learning Meetup |
Kernel Embeddings, Meta Learning, and Distributional Transfer |
video |
| 2019/06/07 |
DeepMind, London |
Kernel Embeddings, Meta Learning, and Distributional Transfer |
slides |
| 2019/03/28 |
Workshop on Functional Inference and Machine Intelligence, ISM Tokyo |
Hyperparameter Learning via Distributional Transfer |
slides |
| 2019/02/26 |
2nd KERMES Workshop, UPM Madrid |
Learning on Aggregate Outputs with Kernels |
slides |
| 2018/11/28 |
Machine Learning Tutorial, Department of Computing, Imperial College London |
Kernel Methods, Embeddings, and Aggregates |
slides |
| 2018/09/06 |
Advances in Kernel Methods Workshop, Gaussian Process Summer School, Sheffield |
Approximate Kernel Methods and Learning on Aggregates |
slides |
| 2017/05/06 |
RegML 2017 Workshop, Oslo |
Learning with Approximate Kernel Embeddings |
slides |
| 2017/03/23 |
Statistical Learning Workshop, Lancaster |
Learning with Approximate Kernel Embeddings |
slides |
| 2016/11/28 |
Dagstuhl Workshop: New Directions for Learning with Kernels and Gaussian Processes |
Kernel Embeddings and Gaussian Processes |
slides |
| 2016/10/07 |
OxWaSP Workshop, Warwick |
Inference with Kernel Embeddings |
slides, video |
| 2016/09/13 |
SuSTaIn Workshop, Bristol |
Inference with Kernel Embeddings |
slides |
| 2016/09/07 |
RSS 2016 Conference, Manchester |
Inference with Kernel Embeddings |
slides |
| 2016/03/30 |
The Institute of Statistical Mathematics, Tokyo |
Kernel Embeddings for Inference with Intractable Likelihoods |
slides |
| 2015/06/22 |
Dept of Power, Electronics and Communication Engineering, University of Novi Sad |
Tutorial on Statistical Machine Learning |
slides: 1, 2 |
| 2015/04/09 |
Dagstuhl Seminar on Machine Learning with Interdependent and Non-identically Distributed Data |
Hypothesis Testing with Kernel Embeddings on Interdependent Data |
slides |
| 2015/02/06 |
Dept of Statistics, London School of Economics |
Hypothesis Testing with Kernel Embeddings on Big and Interdependent Data |
slides |
| 2015/01/09 |
UCL Workshop on the Theory of Big Data |
Big Hypothesis Testing with Kernel Embeddings |
slides |
| 2014/11/18 |
Oxford-Warwick Statistics CDT (OxWaSP) |
Kernel Methods and Hypothesis Testing |
slides |
| 2014/07/29 |
Dept of Software Engineering and Theoretical Computer Science, TU Berlin |
Kernel Adaptive Metropolis-Hastings |
slides |
| 2014/07/28 |
The Shogun Machine Learning Toolbox Workshop 2014, Berlin, Germany |
Kernel Hypothesis Testing and Feature Selection |
slides, video |
| 2014/03/31 |
Workshop on Kernel Methods for Big Data, Lille, France |
MCMC Kameleon: Kernel Adaptive Metropolis-Hastings |
slides |
| 2014/03/20 |
Workshop on Intractable Likelihoods, St Anne’s College, University of Oxford |
MCMC Kameleon: Kernel Adaptive Metropolis-Hastings |
poster |
| 2013/12/07 |
NIPS 2013, Lake Tahoe, NV |
A kernel test for three-variable interactions |
slides, video, poster |
| 2012/11/12 |
Dept of Statistical Science, UCL |
Hypothesis testing with kernel embeddings |
slides |
| 2012/10/26 |
CSML Lunch Talk, UCL |
Equivalence of distance-based and RKHS-based statistics in hypothesis testing |
slides |
| 2012/10/24 |
Gatsby Machine Learning Journal Club, UCL |
Topology and data |
slides |
| 2012/06/27 |
ICML 2012, Edinburgh |
Hypothesis testing using pairwise distances and associated kernels |
slides, video |
| 2012/04/13 |
Signal Processing and Communications Laboratory, University of Cambridge |
Combinatorial channel signature modulation for wireless networks |
slides |
| 2011/07/14 |
Dept of Electrical and Electronic Engineering, Imperial College London |
Nonparametric changepoint detection via string matching |
slides |