Work

Statistics and Learning Theory in the Era of Artificial Intelligence

Year: 2024

Type: article

Abstract: The workshop highlighted recent theoretical advances on inference in high-dimensional statistical models based on the interplay of techniques from mathematical statistics, machine learning, theoretical computer science and related areas. The workshop brought together about 50 researchers in order to present new results, exchange ideas and explore open problems.

Source: Oberwolfach Reports

DOI: 10.4171/owr/2024/30

Authors: Florentina Bunea, Arnak Dalalyan, Robert Nowak, Sara van de Geer

Institutions: Cornell University, ENSAE Paris, University of Wisconsin–Madison, ETH Zurich

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4404692468

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