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Logistic Regression: The Importance of Being Improper

25 March 2018

Papers citing "Logistic Regression: The Importance of Being Improper"

24 / 24 papers shown

Title
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability Yu Zhang Peng Zhao Masashi Sugiyama 115 0 0 12 Jun 2025
Bandit and Delayed Feedback in Online Structured Prediction Yuki Shibukawa Taira Tsuchiya Shinsaku Sakaue Kenji Yamanishi OffRL 111 0 0 26 Feb 2025
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 197 6 0 19 Jul 2024
Online Platt Scaling with Calibeating Chirag Gupta Aaditya Ramdas 53 5 0 28 Apr 2023
Smoothed Analysis of Sequential Probability Assignment Alankrita Bhatt Nika Haghtalab Abhishek Shetty 80 10 0 08 Mar 2023
Exploring Local Norms in Exp-concave Statistical Learning Nikita Puchkin Nikita Zhivotovskiy 149 2 0 21 Feb 2023
Quasi-Newton Steps for Efficient Online Exp-Concave Optimization Zakaria Mhammedi Khashayar Gatmiry 50 7 0 02 Nov 2022
Anytime Valid Tests of Conditional Independence Under Model-X Peter Grünwald A. Henzi Tyron Lardy 108 19 0 26 Sep 2022
Blessing of Class Diversity in Pre-training Yulai Zhao Jianshu Chen S. Du AI4CE 77 3 0 07 Sep 2022
A Contrastive Approach to Online Change Point Detection Artur Goldman Nikita Puchkin Valeriia Shcherbakova Uliana Vinogradova 82 7 0 21 Jun 2022
Scale-free Unconstrained Online Learning for Curved Losses J. Mayo Hédi Hadiji T. Erven 82 13 0 11 Feb 2022
Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games C. Daskalakis Noah Golowich 55 24 0 17 Nov 2021
Efficient Methods for Online Multiclass Logistic Regression Naman Agarwal Satyen Kale Julian Zimmert 60 10 0 06 Oct 2021
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression Batoul Taki Mohsen Ghassemi Anand D. Sarwate W. Bajwa 42 3 0 31 May 2021
On Misspecification in Prediction Problems and Robustness via Improper Learning A. Marsden John C. Duchi Gregory Valiant 27 1 0 13 Jan 2021
SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory Paria Rashidinejad Jiantao Jiao Stuart J. Russell 72 11 0 12 Oct 2020
Efficient improper learning for online logistic regression Rémi Jézéquel Pierre Gaillard Alessandro Rudi 101 23 0 18 Mar 2020
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson Stefanie Jegelka S. Sra 67 32 0 19 Feb 2020
No-regret Exploration in Contextual Reinforcement Learning Aditya Modi Ambuj Tewari OffRL 51 14 0 14 Mar 2019
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance Ulysse Marteau-Ferey Dmitrii Ostrovskii Francis R. Bach Alessandro Rudi 188 52 0 08 Feb 2019
Orthogonal Statistical Learning Dylan J. Foster Vasilis Syrgkanis 164 174 0 25 Jan 2019
Finite-sample analysis of M-estimators using self-concordance Dmitrii Ostrovskii Francis R. Bach 87 52 0 16 Oct 2018
Online Multiclass Boosting with Bandit Feedback Daniel T. Zhang Young Hun Jung Ambuj Tewari 48 7 0 11 Oct 2018
Contextual bandits with surrogate losses: Margin bounds and efficient algorithms Dylan J. Foster A. Krishnamurthy 167 18 0 28 Jun 2018