Mar 28, 2022	I gave a talk about the open source library ProbNum at the Workshop on Probabilistic Approaches to Numerical Computation in London, UK.
Dec 3, 2021	The paper on our open source project ProbNum: Probabilistic Numerics in Python is now on arXiv. Please cite if you use ProbNum in your scientific work (ProbNum webpage).
Oct 23, 2021	Our paper Invariant Priors for Bayesian Quadrature has been accepted as a contributed talk at the NeurIPS 2021 workshop Your Model is Wrong: Robustness and misspecification in probabilistic modeling.
Oct 1, 2021	I am co-organizing the Dagstuhl Seminar on Probabilistic Numerical Methods - From Theory to Implementation Wadern, Germany.
Jul 31, 2021	Our paper Dynamic Pruning of a Neural Network via Gradient Signal-to-Noise Ratio of my intern Julien Siems at Amazon Web Services has been accepted at the 8th ICML Workshop on Automated Machine Learning (AutoML) 2021.
May 1, 2021	I got involved in the open source project ProbNum.
May 1, 2021	I joined the group Methods of Machine Learning. (MoML) headed by Philipp Hennig as a PostDoc @ University of Tübingen, Germany.
Oct 11, 2020	I gave a talk on Challenges in Bayesian Quadrature @ Workshop on Uncertainty Propagation in Composite Models @ Siemens, Munich, Germany.
Sep 10, 2020	I gave a talk on Emukit - A python library for decision-making under uncertainty @ Royal Statistical Society (RSS) Annual Conference, Bournemouth, UK.
Sep 10, 2020	I co-organized a session on Probabilistic Numerics @ Royal Statistical Society (RSS) Annual Conference, Bournemouth, UK.
Jul 31, 2020	Our paper A Fourier state space model for Bayesian ODE filters of my intern Hans Kersting at Amazon Cambridge has been accepted at the Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (INNF) workshop @ ICML. Talk here.
Jun 1, 2020	I joint Amazon Web Services (AWS) Sagemaker in Berlin, Germany as Machine Learning Scientist.
Mar 31, 2020	I unfortunately could not attend the Minisymposia on Probabilistic Numerics @ SIAM UQ, Munich, Germany due to the Covid pandemic.
Jan 29, 2020	I gave a talk on Active Multi-Information Source Bayesian Quadrature @ Amazon Web Service Berlin, Germany.
Jan 20, 2020	I gave a talk on Active Multi-Information Source Bayesian Quadrature @ PROWLER.io (now Secondmind) Cambridge, UK.
Dec 1, 2019	Our paper Emulation of physical processes with Emukit was accepted at the Second Workshop on Machine Learning and the Physical Sciences @ NeurIPS 2019.
Oct 25, 2019	I gave a talk on the Emukit Python Library at the Workshop on Probabilistic Numerics @ the Alan Turing Institute in London, UK.
Sep 12, 2019	I gave a talk on Active Multi-Information Source Bayesian Quadrature at the Workshop on Structurally Constrained Gaussian Processes @ Gaussian Process Summer School (GPSS) Sheffield, UK.
Jun 30, 2019	Our paper Active Multi-Information Source Bayesian Quadrature of my intern Alex Gessner at Amazon Cambridge has been accepted at UAI 2019.
May 1, 2019	Looking forward to working with my summer-intern Hans Kersting at Amazon Cambridge, UK.
Dec 1, 2018	Our paper On Acquisition Functions for Active Multi-Source Bayesian Quadrature of my intern Alex Gessner has been accepted at the All of Bayesian Nonparametrics Workshop) @ NeurIPS 2018.
Dec 1, 2018	My PhD thesis Probabilistic Approaches to Stochastic Optimization is published. Please check out chapters 8-9 especially as they contain work not published elsewhere yet, and I think it’s cool!
Oct 20, 2018	We open sourced Emukit on GitHub (short for emulation toolkit). I am one of the co-maintainers and original authors.
Jul 23, 2018	I successfully defended my PhD!
May 1, 2018	Looking forward to working with my summer-intern Alex Gessner at Amazon Cambridge, UK.
Apr 18, 2018	I attended the SAMSI-Lloyds-Turing Workshop on Probabilistic Numerics @ the Alan Turing Institute in London, UK.
Mar 5, 2018	I joint Amazon.com in Cambridge, UK as Machine Learning Scientist.
Feb 28, 2018	I submitted my PhD thesis!
Nov 28, 2017	Our work on Probabilistic Line Searches was accepted to JMLR (Journal of Machine Learning Research).
Aug 30, 2017	Our paper Automating Stochastic Optimization with Gradient Variance Estimates was accepted at the AutoML Workshop @ ICML.
Jun 30, 2017	An extended version of our NIPS ‘15 conference paper on Probabilistic Line Searches is now on arXiv. It also contains a detailed pseudocode.
Jun 23, 2017	I attended the 23rd Dobbiaco Summer School on Probabilistic Numerics @ the Hotel Union in Dobbiaco, Italy.
Mar 28, 2017	Our paper Early-Stopping without a Validation Set is now on ArXiv.
Mar 25, 2017	I gave a talk on early-Stopping without a Validation Set at Amazon Research Cambridge, UK.
Dec 10, 2016	I co-organized the workshop Optimizing the Optimizers @ NIPS 2016, Barcelona, Spain.
Sep 15, 2016	I gave a talk on Stochastic Optimization at the Workshop on Uncertainty Quantification @ Gaussian Process Summer School (GPSS) Sheffield, UK.
Jul 1, 2016	I joint the Amazon.com as Applied Science Intern for three month for a summer internship @ Amazon Development Center in Berlin, Germany.
Dec 1, 2015	Our paper Probabilistic Line Searches for Stochastic Optimization has been accepted @ NIPS 2015 and selected for a full oral presentation (acceptance <1%).
Oct 1, 2015	Looking forward to work with our lab rotation student Jonas Rauber.
Sep 30, 2015	I gave a talk on Line Searches for Stochastic Optimization at Microsoft Research - Cambridge, UK.
Jul 24, 2015	I attended the Machine Learning Summer School (MLSS) in Tübingen, Germany.
May 1, 2015	Looking forward to working with our student assistant Jonas Jaszkowic on some code for probabilistic numerics.
Apr 12, 2015	I gave a talk on Line Searches and Stochastic Optimization at the Workshop on Probabilistic Numerics @ Data, Learning and Inference (DALI) La Palma, Canary Islands.
Aug 22, 2014	I attended the Roundtable on Probabilistic Numerics @ Max Planck Institute (MPI) for Intelligent Systems, Tübingen, Germany.
Aug 8, 2013	I attended the Machine Learning Summer School (MLSS) in Tübingen, Germany.
Jul 15, 2013	I joint the Max Planck Institute (MPI) for Intelligent Systems in Tübingen, Germany, as a PhD candidate in machine learning.
Jun 13, 2013	I attended the Gaussian Process Summer School (GPSS) as well as the Latent Force Model Workshop Sheffield, UK.