Given talks and presented posters
Given talks and presented posters
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Given talks:
Given talks:
How good is your Laplace approximation of a Bayesian posterior? Finite-sample error bounds for a variety of useful divergences, Stochastics Seminar, Karlsruhe Institute of Technology, September 2023.
How good is your Laplace approximation of a Bayesian posterior? Finite-sample error bounds for a variety of useful divergences, 51st Probability Summer School, St. Flour, France, July 2023.
How good is your Laplace approximation of a Bayesian posterior? Finite-sample error bounds for a variety of useful divergences, Stochastic Processes and Applications Conference, Lisbon, July 2023.
A Fourier Representation of Kernel Stein Discrepancy with Application to Goodness-of-Fit Tests for Measures on Infinite Dimensional Hilbert Spaces, Lifting Inference with Kernel Embeddings (LIKE23), Bern, Switzerland, June 2023.
How good is your Laplace approximation of a Bayesian posterior? Finite-sample error bounds for a variety of useful divergences, Stochastic Processes and Applications, Lisbon, July 2023.
How good is your Laplace approximation? Finite-sample error bounds for a variety of useful divergences, German Probability and Statistics Days, Essen, March 2023.
How good is your Laplace approximation? Finite-sample error bounds for a variety of useful divergences, Meeting in Mathematical Statistics, CIRM Luminy, Marseille, December 2022.
How good is your Laplace approximation? Finite-sample error bounds for a variety of useful divergences, Mathematical Statistics Seminar, Weierstrass Institute, Berlin, December 2022.
How good is your Laplace approximation? Finite-sample error bounds for a variety of useful divergences, Statistics Seminar, Université Catholique de Louvain, November 2022.
How good is your Laplace approximation? Finite-sample error bounds for a variety of useful divergences, Research Seminar, Centre for Mathematical and Statistical Modelling, Brunel University London, November 2022.
Theoretical guarantees for the quality of Laplace approximations in Bayesian statistics, Bernoulli Young Researcher Event 2022, July 2022.
How good is your Bayesian CLT? Error bounds for a variety of useful divergences, Stein's Method: The Golden Anniversary, National University of Singapore, June 2022.
Stein's method and Gaussian process approximations, Probability and Statistics Seminar, University of Manchester, 27 April 2022.
Functional limit theorems via Stein's method, Probability and Statistics Seminar, Boston University, 16 September, 2021.
Presented posters:
Presented posters:
How good is your Laplace approximation of a Bayesian posterior? Finite-sample error bounds for a variety of useful divergences, BayesComp 2023, Levi, Finland, March 2023.
How good is your Laplace approximation of a Bayesian posterior? Finite-sample error bounds for a variety of useful divergences, Objective Bayes Conference (O'Bayes), Santa Cruz, USA, September 2022.
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