Logistic Regression Regret: What's the Catch?

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Logistic Regression Regret: What's the Catch?

7 February 2020

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Papers citing "Logistic Regression Regret: What's the Catch?"

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Title
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood Ziyi Liu Idan Attias Daniel M. Roy 77 1 0 04 Oct 2024
Expected Worst Case Regret via Stochastic Sequential Covering Changlong Wu Mohsen Heidari A. Grama Wojtek Szpankowski 103 12 0 09 Sep 2022
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm Changlong Wu Mohsen Heidari A. Grama Wojtek Szpankowski 76 8 0 07 May 2022
Scale-free Unconstrained Online Learning for Curved Losses J. Mayo Hédi Hadiji T. Erven 138 15 0 11 Feb 2022
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees Jean Feng Alexej Gossmann B. Sahiner R. Pirracchio OOD 108 5 0 13 Oct 2021
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning G. Shamir Wojtek Szpankowski 64 6 0 28 Jan 2021
Exploiting the Surrogate Gap in Online Multiclass Classification Dirk van der Hoeven 61 10 0 24 Jul 2020