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).
Location indicates the building first and then the room number!
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Session Overview | |
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Location: POT 06 Potthoff Bau |
| Date: Tuesday, 11/Mar/2025 | |
| 10:45 am - 12:25 pm |
S 1 (1): Machine Learning Location: POT 06 Floor plan Chair: Merle Behr Chair: Alexandra Carpentier Deep Learning of Multivariate Extremes via a Geometric Representation 11:10 am - 11:35 am Affine Invariance in Continuous-Domain Convolutional Neural Networks 11:35 am - 12:00 pm PAC-Bayesian optimization for deep stochastic neural networks using spatio-temporal data. |
| 2:00 pm - 3:40 pm |
S 1 (2): Machine Learning Location: POT 06 Floor plan Chair: Merle Behr Chair: Alexandra Carpentier Clustering Experts with Bandit Feedback of their Performance in Multiple Tasks 2:25 pm - 2:50 pm Permutation Estimation for Crowdsourcing 2:50 pm - 3:15 pm A random measure approach to reinforcement learning in continuous time |
| 4:20 pm - 6:00 pm |
S 1 (3): Machine Learning Location: POT 06 Floor plan Chair: Merle Behr Chair: Alexandra Carpentier Effective fluctuating continuum models for SGD with small learning rate, or in overparameterized limits 4:45 pm - 5:10 pm Learning of deep convolutional network image classifiers via stochastic gradient descent and over-parametrization 5:10 pm - 5:35 pm Optimal Rates for Forward Gradient Descent based on Multiple Queries 5:35 pm - 6:00 pm Stochastic Modified Flows for Riemannian Stochastic Gradient Descent |
| Date: Wednesday, 12/Mar/2025 | |
| 10:30 am - 12:10 pm |
S 1 (4): Machine Learning Location: POT 06 Floor plan Chair: Merle Behr Flow matching vs. kernel density estimation 10:55 am - 11:20 am Detecting the memorizing effect in generative AI 11:20 am - 11:45 am Fixed-points of the distributional Bellman operator 11:45 am - 12:10 pm Transport Dependency: Optimal Transport Based Dependency Measures |
| 1:40 pm - 3:20 pm |
S 1 (5): Machine Learning Location: POT 06 Floor plan Chair: Merle Behr Optimization of high-dimensional random functions 2:05 pm - 2:30 pm Towards Applying Regression Techniques for Counterfactual Reasoning 2:30 pm - 2:55 pm Lévy Langevin Monte Carlo |
| 3:50 pm - 4:40 pm |
S 1 (6): Machine Learning Location: POT 06 Floor plan Chair: Shayan Hundrieser Statistical guarantees for stochastic Metropolis-Hastings 4:15 pm - 4:40 pm Lévy Langevin Monte Carlo for heavy-tailed target distributions |
| Date: Thursday, 13/Mar/2025 | |
| 10:30 am - 12:10 pm |
S11 (3): Time series - Functional and High-Dimensional Time Series Location: POT 06 Floor plan Chair: Martin Wendler An operator-level GARCH Model 10:55 am - 11:20 am Towards a bootstrap uniform functional central limit theorem for nonstationary time series 11:20 am - 11:45 am High-dimensional Gaussian linear processes: Marchenko-Pastur beyond simultaneous diagonalizability |
| Date: Friday, 14/Mar/2025 | |
| 10:30 am - 12:10 pm |
S11 (5): Time series - Ordinal Pattern and Discrete Time Series Location: POT 06 Floor plan Chair: Annika Betken Classes of multivariate motion patterns and applications to environmental data 10:55 am - 11:20 am The Symbolic Correlation Integral: Measuring Complexity in Short-range Dependent Time Series. 11:20 am - 11:45 am Weighted Discrete ARMA Models for Categorical Time Series 11:45 am - 12:10 pm Predictive inference for discrete-valued time series |
Contact and Legal Notice · Contact Address:  Conference: GPSD 2025 |
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