2026
Feb 2026
Recent Advances in Imprecise Probabilistic Machine Learning
[slides]
Department of Computer Science, University of Manchester
Manchester, United Kingdom
Feb 2026
Recent Advances in Imprecise Probabilistic Machine Learning
[slides]
Department of Statistics, University of Oxford
Oxford, United Kingdom
2025
Nov 2025
Integral Imprecise Probability Metrics
Institute for Informatics, LMU
Munich, Germany
Nov 2025
Recent Advances in Game-theoretic Feature Attributions for Kernel methods and Gaussian Processes
Department of Mathematics, City University of Hong Kong
Hong Kong
Nov 2025
Recent Advances in Game-theoretic Feature Attributions for Kernel methods and Gaussian Processes
Department of Statistics and Actuarial Science, University of Hong Kong
Hong Kong
Oct 2025
Integral Imprecise Probability Metrics
Centre for Frontier AI Research, ASTAR
Singapore
Sep 2025
Deconditional Kernel Mean Embeddings and Gaussian Processes
[slides]
Data Science and its Applications (DSA), German Research Center for Artificial Intelligence (DFKI)
Online
Aug 2025
Integral Imprecise Probability Metrics
Lattice Lab, Toyota
Japan
May 2025
Integral Imprecise Probability Metrics
National University of Singapore
Singapore
Mar 2025
Credal Two-Sample Tests: How to Test Hypothesis Under Dataset Uncertainty
Manchester Centre for AI Fundamentals, University of Manchester
Manchester
Mar 2025
Credal Two-Sample Tests: How to Test Hypothesis Under Dataset Uncertainty
RainML Research Lab, Department of Statistics, University of Oxford
Oxford
Feb 2025
Towards Credal Generalisation: How to Learn and Test Hypothesis under Dataset Uncertainty?
Amazon Web Services, Berlin
Berlin
2024
Oct 2024
Credal Two-Sample Tests of Epistemic Ignorance
Department of Statistical Science, University College London
London
Oct 2024
Credal Two-Sample Tests of Epistemic Ignorance
Gatsby Computational Neuroscience Unit, University College London
London
Aug 2024
Introduction to the role of Uncertainty in Machine Learning
Kernels and Information Processing Systems group, University of Adelaide
Virtual
Jul 2024
Introduction to the role of Uncertainty in Machine Learning
College of Computing and Data Science, Nanyang Technological University
Singapore
Mar 2024
Stochastic Shapley Values for Gaussian Processes and application to Explainable Bayesian Optimisation
Institute for Informatics, LMU
Munich, Germany
2023
Dec 2023
Stochastic Shapley Values for Gaussian Processes
Australian Data Science Network
Adelaide, Australia
Nov 2023
Collaborative and Explainable Bayesian Optimisation
Data61 Melbourne
Melbourne, Australia
Nov 2023
Collaborative and Explainable Bayesian Optimisation
School of Computing and Information Systems, The University of Melbourne
Melbourne, Australia
Nov 2023
Stochastic Shapley Values for Gaussian Processes
School of Computing, Australian National University
Canberra, Australia
Nov 2023
Stochastic Shapley Values for Gaussian Processes
Australian Institute for Machine Learning (AIML)
Adelaide, Australia
Sep 2023
Stochastic Shapley Values for Gaussian Processes
Oxford Man Institute, University of Oxford
Oxford, United Kingdom
Sep 2023
Stochastic Shapley Values for Gaussian Processes
Department of Management, Technology, and Economics (D-MTEC), ETH Zürich
Zurich, Switzerland
Sep 2023
Stochastic Shapley Values for Gaussian Processes
ETH AI Center
Zurich, Switzerland
Feb 2023
Introduction to Explainable ML
Oxford Strategy Group Digital
Oxford, United Kingdom
Feb 2023
Explaining kernel methods and preference models with RKHS-SHAP
CISPA Helmholtz Center for Information Security
Saarbrücken, Germany
2022
Sep 2022
Explainability for Kernel Methods
ELISE Theory Workshop on ML Fundamentals at Eurecom
Saarbrücken, Germany
Sep 2022
Spectral Ranking with Covariates
ECML-PKDD
Grenoble, France
Jun 2022
Deconditional Gaussian Processes
S-DCE Alan Turing Institute Seminar
London, United Kingdom
Apr 2022
Explaining Kernel Methods with RKHS-SHAP
UCL Gatsby Unit
London, United Kingdom
Feb 2022
Shapley Values for Model Explanations
Imperial & Oxford STATML Seminar
London, United Kingdom
2021
Jun 2021
Uncertainty Quantification for Causal Data Fusion
Warwick ML Group
Warwick, United Kingdom