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28.11.2022 16:45
Inexact Penalty Decomposition Methods for Optimization Problems with Geometric Constraints
12.12.2022 16:45
Optimal distributed testing under communication constraints in high-dimensional and nonparametric Gaussian white noise model
09.01.2023 16:45
Bootstrap Consistency for the Mack Bootstrap
16.01.2023 16:45
Guarantees for Generative Models without Domination
23.01.2023 16:45
Autoregressive categorical time series. Theory and inference.
30.01.2023 16:45
Public presentation of PhD projects (FoeP)
06.03.2023 16:45
Stochastic Liquidity as a Proxy for Nonlinear Price Impact
27.03.2023 16:45
Prediction and testing of mixtures of translated features
17.04.2023 16:45
Nonparametric estimation under Gaussian measurement error with conditionally heteroscedastic variances
24.04.2023 16:45
Some statistical inference results for interacting particle models in a mean-field limit.
08.05.2023 16:45
Stein effect for estimating many vector means: a "blessing of dimensionality" phenomenon.
15.05.2023 16:45
On robustness and local differential privacy
12.06.2023 16:45
Learning Robustly from Multiple Sources
19.06.2023 16:45
From copulas and depth to measure transportation: the long quest for multivariate quantiles and ranks
16.10.2023 16:45
Breiman’s Samplers or Models? There is a little but important difference: Models, including priors, can be wrong!
23.10.2023 16:45
Early stopping in iterative learning methods
13.11.2023 16:45
Rank-transformed subsampling: Inference for multiple data splitting and exchangeable p-values
20.11.2023 16:45
Bootstrapping high-dimensional sample covariance matrices
27.11.2023 16:45
Machine learning beyond the data range: an extreme value perspective
11.12.2023 16:45
Testing statistical hypothesis in Inverse Problems
08.01.2024 16:45
Multivariate geometric quantiles: robustness and extremes, PDE aspects, and Kolmogorov’s distance
18.01.2024 15:30
Essential concepts of Causal Inference: a remarkable history and an intriguing future
22.01.2024 16:45
Reliability of Artificial Intelligence: Chances and Challenges
29.01.2024 16:45