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A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits

A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits

19 July 2024
Junghyun Lee
Se-Young Yun
Kwang-Sung Jun
ArXivPDFHTML

Papers citing "A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits"

7 / 7 papers shown
Title
Neural Logistic Bandits
Neural Logistic Bandits
Seoungbin Bae
Dabeen Lee
34
0
0
04 May 2025
Confidence Sequences for Generalized Linear Models via Regret Analysis
Confidence Sequences for Generalized Linear Models via Regret Analysis
Eugenio Clerico
Hamish Flynn
W. Kotłowski
Gergely Neu
17
0
0
23 Apr 2025
Time-Uniform Confidence Spheres for Means of Random Vectors
Time-Uniform Confidence Spheres for Means of Random Vectors
Ben Chugg
Hongjian Wang
Aaditya Ramdas
32
5
0
24 Feb 2025
Game-theoretic statistics and safe anytime-valid inference
Game-theoretic statistics and safe anytime-valid inference
Aaditya Ramdas
Peter Grünwald
V. Vovk
Glenn Shafer
29
118
0
04 Oct 2022
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual
  Bandits
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits
Wonyoung Hedge Kim
Kyungbok Lee
M. Paik
20
13
0
15 Sep 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits
Marc Abeille
Louis Faury
Clément Calauzènes
94
37
0
23 Oct 2020
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