Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
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Session Overview
Location: Theatre Hall (Delft X)
Building 37 Mekelweg 8 NL-2628 CD Delft
Date: Friday, 15/Mar/2024
9:00am
-
10:15am
Statistical Learning
Location: Theatre Hall (Delft X)
Chair: Johannes Lederer
 
9:00am - 9:25am

A Wasserstein perspective of Vanilla GANs

Lea Kunkel, Mathias Trabs



9:25am - 9:50am

Asymptotic Theory for Constant Step Size Stochastic Gradient Descent

Jiaqi Li, Zhipeng Lou, Stefan Richter, Wei Biao Wu



9:50am - 10:15am

A Continuous-time Stochastic Gradient Descent Method for Continuous Data

Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb

10:40am
-
12:20pm
Statistics for Stochastic Processes
Location: Theatre Hall (Delft X)
Chair: Fabian Mies
 
10:40am - 11:05am

Smoothing for a SIR process

Frank van der Meulen, Daniel Brus, Moritz Schauer



11:05am - 11:30am

Nonparametric estimation of the interaction function in particle system models

Denis Belomestny, Mark Podolskij, Shi-Yuan Zhou



11:30am - 11:55am

Statistical analysis of a stochastic boundary model for high-frequency data from a limit order book

Markus Bibinger



11:55am - 12:20pm

Nonparametric Bayesian volatility estimation for gamma-driven stochastic differential equations

Shota Gugushvili

1:00pm
-
2:00pm
Plenary Talk: Johannes Schmidt-Hieber
Location: Theatre Hall (Delft X)
Chair: Aad van der Vaart
 
1:00pm - 2:00pm

Towards a statistical foundation for machine learning methods

Johannes Schmidt-Hieber


 
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