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Rianne De Heide
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9
Carefree multiple testing with e-processes
31 January 2025 by
Yury Tavyrikov
and
others
Statistics Theory
,
Methodology
Attribution-based Explanations that Provide Recourse Cannot be Robust
20 December 2023 by
Hidde Fokkema
and
others
Machine Learning
E-Statistics, Group Invariance and Anytime Valid Testing
17 October 2023 by
Muriel Felipe Pérez-Ortiz
and
others
Statistics Theory
,
Methodology
Top Two Algorithms Revisited
4 October 2022 by
Marc Jourdan
and
others
Machine Learning
Bandits with many optimal arms
5 November 2021 by
Rianne Heide
and
others
Machine Learning
Safe-Bayesian Generalized Linear Regression
12 June 2020 by
Rianne Heide
and
others
Statistics Theory
,
Machine Learning
Safe Testing
10 June 2020 by
Peter Grünwald
and
others
Statistics Theory
,
Information Theory
Optional Stopping with Bayes Factors: a categorization and extension of folklore results, with an application to invariant situations
21 December 2019 by
Allard Hendriksen
and
others
Statistics Theory
,
Machine Learning
Fixed-Confidence Guarantees for Bayesian Best-Arm Identification
25 October 2019 by
Xuedong Shang
and
others
Machine Learning
Why optional stopping is a problem for Bayesians
3 January 2018 by
Rianne Heide
and
Peter Grünwald
Methodology
,
Statistics Theory
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Machine Learning
Statistics Theory
Methodology
Information Theory