Talks

Upcoming Talks:

Given Talks:

• 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

• Functional limit theorems for U-statistics, 10th Bernoulli-IMS World Congress in Probability and Statistics, 19-23 July, 2021

• Functional approximations with Stein's method of exchangeable pairs, 13th International Conference of the ERCIM WG on Computational and Methodological Statistics, 19-21 December, 2020

• Infinite-dimensional Stein's method with applications, Statistics Seminar, Mathematics Department, Imperial College London, October 2020

• Functional approximations with Stein's method of exchangeable pairs, Barcelona Mathematical Days, October 2020

• Probabilistic methods for proving error bounds in GP posterior approximation, 12th International Conference on Bayesian Nonparametrics, Oxford, UK, June 2019

• Functional approximations via exchangeable pairs with applications to degenerate U-statistics, Stochastic Processes and Applications Conference, Gothenburg, Sweden, June 2018

• Functional approximations via exchangeable pairs with applications to degenerate U-statistics, Finnish Summer School in Probability and Statistics, Lammi, Finland, May 2018

• Functional approximations via Stein's method, Workshop on Markov Processes on metric measure spaces and Gaussian Fields, University Duisburg-Essen, Germany, February 2018

• Diffusion approximations via time changes and Stein's method, Workshop on Stochastic Analysis and Random Fields, Haifa, Israel, December 2017

• Diffusion approximations via time changes and Stein's method, Probability Seminar, University of Liege, Belgium, October 2017

• Multivariate functional approximations via Stein's method of exchangeable pairs, Stochastic Processes and Applications Conference, Moscow, Russia, July 2017

• Diffusion approximations via time changes and Stein's method, Warsaw Summer School in Probability, University of Warsaw, Poland, 3 July 2017

• Diffusion approximations via time changes and Stein's method, University of Luxembourg, 15 June 2017

• Diffusion approximations via time changes and Stein's method, Informal Probability Workshop, University of Oxford, UK, 22 May 2017

• Diffusion approximations via time changes and Stein's method, Junior Probability Seminar, University of Oxford, 28 April 2017

• Diffusion approximations via time changes and Stein's method, Stein Workshop, University of Oxford, UK, October 2016

• Stein's Method for functional approximation, World Congress in Probability and Statistics, Fields Institute, Toronto, Canada, July 2016

• Stein's Method for functional approximation, Research Students Conference 2016, University College Dublin, Ireland, June 2016

• Erdos-Kac Theorem and Mod-Poisson Convergence, Junior Probability Seminar, University of Oxford, UK, April 2016