(Oct 2024) "Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models" (Slides), Simons Institute for the Theory of Computing, University of California, Berkeley, USA.
(Mar 2024) "The Stochastic Gradient Descent from a Nonlinear Time Series Perspective" (Slides), Seminar at the Department of Economics, Econometrics & Finance, University of Groningen, Netherlands.
(Mar 2024) "L2 Inference for Change Points in High-Dimensional Time Series via a Two-Way MOSUM" (Slides), Seminar Series on the Mathematics of Data Science (MDS Series), Univeristy of Twente, Netherlands.
(Mar 2024) "Asymptotic Theory on Constant Step Size Stochastic Gradient Descent" (Slides), 15th Workshop on Stochastic Models, Statistics and Their Applications (SMSA 2024), TU Delft, Netherlands.
(Oct 2023) "Asymptotic Theory on Constant Step Size Stochastic Gradient Descent" (Slides), Big Data and Machine Learning in Econometrics, Finance, and Statistics, Chicago, USA.
(Aug 2023) "Adaptive MOSUM: Inference for Change Points in High Dimensional Time Series" (Slides), The Joint Statistical Meetings (JSM), Toronto, Canada.
(Jul 2023) "Asymptotic Theory on Constant Step Size Stochastic Gradient Descent" (Abstract), Data Science and Dependence 2023 Conference, International Academic Forum Heidelberg (IWH), Heidelberg, Germany.
(Dec 2022) "L2 Inference for Change Points in High-Dimensional Time Series via a Two-Way MOSUM" (Slides), 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022), London, UK.
(Aug 2022) "L2 Inference for Change Points in High-Dimensional Time Series via a Two-Way MOSUM" (Slides), The Joint Statistical Meetings (JSM), Washington, DC, USA.
(Jun 2022) "Network level analysis provides a framework for biological interpretation of machine learning results" (Poster), Annual Meeting of The Organization for Human Brain Mapping (OHBM), Scottish Event Campus in Glasgow, Scotland, UK.
(May 2022) "Network level analysis provides a framework for biological interpretation of machine learning results" (Poster), Mallinckrodt Institute of Radiology (MIR) Research Symposium, Eric P. Newman Education Center, St. Louis, MO, USA.
(Feb 2021) "Benchmarking Machine Learning Algorithms Applied on Brain Connectivity Data" (Slides), Workshop: Application of Machine Learning Tools to Omics in Neuroscience, Washington University, St. Louis, MO, USA.
(Jul 2018) "Adaptive Wi-Fi Indoor Positioning" (Slides), Session VIII, 10th IEEE International Conference on Communication Software and Network, Chengdu, Sichuan, China.