The first two days are a research school
Monday 26th June 2023
| Time | Speaker | Title and content |
|---|---|---|
| 09:00-09:15 | LIKE23 committee | Welcome address |
| 09:15-10:30 | James Hensman |
Two tales of orthogonalityClick here to expand and see the recording. |
| 10:30-11:00 | Coffee break | |
| 11:00-11:45 | Sarah Filippi |
Bayesian Nonparametric Mixture Model: an application to pharmaceutical manufacturing ☒ This talk was not recorded. |
| 11:45-12:15 | Chifaa Al Dahik |
Gaussian process prediction for a cyclone application using adapted kernelsClick here to expand and see the recording. |
| 12:15-13:30 | Lunch break | |
| 13:45-15:00 | Danica Sutherland |
(Deep) Kernel Mean Embeddings for Representing and Learning On DistributionsClick here to expand and see the recording. |
| 15:00-15:45 | George Wynne |
Kernel mean embeddings meets functional data analysisClick here to expand and see the recording. |
| 15:45-16:15 | Coffee break | |
| 16:15-17:00 | Mickaël Binois | Kernels for high-dimensional Gaussian process modelingClick here to expand and see the recording. |
| 17:00-17:30 | Discussions |
Tuesday 27th June 2023
| Time | Speaker | Title and content |
|---|---|---|
| 09:00-10:15 |
Seth Flaxman & Elizaveta Semenova |
Emulating and aggregating GPs with PriorVAE and πVAE: deep generative models to enable scalable MCMC inference and define a novel stochastic processClick here to expand and see the recording. |
| 10:15-10:45 | Coffee break | |
| 10:45-11:30 | Henry Moss |
Scalable Gaussian Processes when you don't just care about RegressionClick here to expand and see the recording. |
| 11:30-12:00 | Noé Fellmann |
Sensitivity analysis on (excursion) sets based on kernel embedding of random setsClick here to expand and see the recording. |
| 12:00-13:30 | Lunch break | |
| 13:30-14:45 | Sebastien Da Veiga |
Optimal maximum mean discrepancy quantization with clustering penalties on the sparse simplexClick here to expand and see the recording. |
| 14:45-15:15 | Discussions | |
| 15:15-16:00 | Coffee break | |
| 16:00-16:45 | Nicolas Durrande |
Gaussian Process Ensembles and the Bayesian Committee Machine Click here to expand and see the recording. |
| 16:45-17:45 |
Viacheslav Borovitskiy
& Alexander Terenin |
Geometric Gaussian ProcessesClick here to expand and see the recording. |
The three last days are a workshop
Wednesday 28th June 2023
| Time | Speaker | Title and content |
|---|---|---|
| 09:00-09:45 | Tim Sullivan |
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem Access the slides |
| 09:45-10:30 | Zoltan Szabo |
Kernel Cumulant Embedding Access the slides |
| 10:30-11:00 | Coffee break | |
| 11:00-11:45 | Olivier Roustant |
High-dimensional additive Gaussian process under monotonicity constraints Access the slides |
| 11:45-12:30 | Iain Henderson |
Physics-informed gaussian processes and kernels : some recent results Access the slides |
| 12:30-14:00 | Lunch break | |
| 14:00-14:45 | Boumediene Hamzi |
Kernel Flows and Kernel Mode Decomposition for Learning Dynamical Systems from Data Access the slides |
| 14:45-15:30 | Dario Azzimonti |
Gaussian processes for choice data Access the slides |
| 15:30-16:00 | Coffee break | |
| 16:00-16:45 | Heishiro Kanagawa |
Controlling moments with kernel Stein discrepancies Access the slides |
| 16:45-17:30 | Ti John |
Learning from the dual parameterization Access the slides |
Thursday 29th June 2023
| Time | Speaker | Title and content |
|---|---|---|
| 09:00-10:00 | Wolfgang Polonik |
Inference in topological data analysis Access the slides |
| 10:00-10:30 | Coffee break | |
| 10:30-11:15 | Anthea Monod | Topological Gaussian Process Regression to Predict Clinical Outcome in GBM Patients (online) |
| 11:15-12:00 | Bastian Rieck |
A Primer on Multi-Scale Topological Kernels Access the slides |
| 12:00-13:30 | Lunch | |
| 13:30-14:15 | Mikolaj Kasprzak |
A Fourier Representation of Kernel Stein Discrepancy with Application to Goodness-of-Fit Tests for Measures on Infinite Dimensional Hilbert Spaces Access the slides |
| 14:15-15:00 | Johanna Ziegel | Characteristic kernels on Hilbert spaces, Banach spaces, and on sets of measures |
| 15:00-15:15 | Short break | |
| 15:15-16:00 | Jean Carlo Guella |
Hilbert space embeddings of independence tests in 2 and several variables Access the slides |
Friday 30th June 2023
| Time | Speaker | Title and content |
|---|---|---|
| 09:00-09:45 | Andrew Duncan | Kernel Based Testing in High Dimensions: Shedding some light on hyperparameter-induced Phase Transitions |
| 09:45-10:30 | Pierre-Cyril Aubin-Frankowski | Kernels and optimization: Hilbert vs tropical, kernel Sum-of-Squares, optimal control, c-concavity and representer theorems |
| 10:30-11:00 | Coffee break | |
| 11:00-11:45 | George Wynne | Bayes Hilbert Spaces for Posterior Approximation |
| 11:45-12:30 | Danica Sutherland |
Conditional Independence Regularizers with Kernel Embeddings Access the slides |