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Improved Optimistic Algorithms for Logistic Bandits

18 February 2020

Papers citing "Improved Optimistic Algorithms for Logistic Bandits"

50 / 69 papers shown

Title
Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback Tanmay Goyal Gaurav Sinha 15 0 0 16 Jun 2025
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds Aya Kayal Sattar Vakili Laura Toni Da-shan Shiu A. Bernacchia 34 0 0 29 May 2025
Learning Parametric Distributions from Samples and Preferences Marc Jourdan Gizem Yüce Nicolas Flammarion 15 0 0 29 May 2025
A Unified Online-Offline Framework for Co-Branding Campaign Recommendations Xiangxiang Dai Xiaowei Sun Jinhang Zuo Xutong Liu John C. S. Lui 31 0 0 28 May 2025
PromptWise: Online Learning for Cost-Aware Prompt Assignment in Generative Models Xiaoyan Hu Lauren Pick Ho-fung Leung Farzan Farnia 30 1 0 24 May 2025
Neural Logistic Bandits Seoungbin Bae Dabeen Lee 527 0 0 04 May 2025
Reinforcement Learning from Multi-level and Episodic Human Feedback Muhammad Qasim Elahi Somtochukwu Oguchienti Maheed H. Ahmed Mahsa Ghasemi OffRL 92 0 0 20 Apr 2025
Dynamic Assortment Selection and Pricing with Censored Preference Feedback Jung-hun Kim Min-hwan Oh 60 0 0 03 Apr 2025
Language Model Personalization via Reward Factorization Idan Shenfeld Felix Faltings Pulkit Agrawal Aldo Pacchiano 106 1 0 08 Mar 2025
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation Long-Fei Li Yu Zhang Peng Zhao Zhi Zhou 255 5 0 17 Jan 2025
Near Optimal Pure Exploration in Logistic Bandits Eduardo Ochoa Rivera Ambuj Tewari 94 0 0 28 Oct 2024
Optimal Design for Reward Modeling in RLHF Antoine Scheid Etienne Boursier Alain Durmus Michael I. Jordan Pierre Ménard Eric Moulines Michal Valko OffRL 148 9 0 22 Oct 2024
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits Shuai Liu Alex Ayoub Flore Sentenac Xiaoqi Tan Csaba Szepesvári 81 1 0 01 Oct 2024
Advances in Preference-based Reinforcement Learning: A Review Youssef Abdelkareem Shady Shehata Fakhri Karray OffRL 96 10 0 21 Aug 2024
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift Seongho Son William Bankes Sayak Ray Chowdhury Brooks Paige Ilija Bogunovic 122 4 0 26 Jul 2024
Neural Dueling Bandits: Preference-Based Optimization with Human Feedback Arun Verma Zhongxiang Dai Xiaoqiang Lin Patrick Jaillet K. H. Low 187 6 0 24 Jul 2024
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 192 6 0 19 Jul 2024
Bandits with Preference Feedback: A Stackelberg Game Perspective Barna Pásztor Parnian Kassraie Andreas Krause 75 4 0 24 Jun 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback Ruitao Chen Liwei Wang 138 1 0 18 May 2024
Nearly Minimax Optimal Regret for Multinomial Logistic Bandit Joongkyu Lee Min-hwan Oh 93 7 0 16 May 2024
Active Preference Learning for Ordering Items In- and Out-of-sample Herman Bergström Emil Carlsson Devdatt Dubhashi Fredrik D. Johansson 81 0 0 05 May 2024
DPO Meets PPO: Reinforced Token Optimization for RLHF Han Zhong Zikang Shan Guhao Feng Wei Xiong Xinle Cheng Li Zhao Di He Jiang Bian Liwei Wang 155 72 0 29 Apr 2024
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback Qiwei Di Jiafan He Quanquan Gu 110 1 0 16 Apr 2024
Generalized Linear Bandits with Limited Adaptivity Ayush Sawarni Nirjhar Das Siddharth Barman Gaurav Sinha 189 5 0 10 Apr 2024
Horizon-Free Regret for Linear Markov Decision Processes Zihan Zhang Jason D. Lee Yuxin Chen Simon S. Du 55 3 0 15 Mar 2024
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition Long-Fei Li Peng Zhao Zhi Zhou 85 6 0 07 Mar 2024
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF Banghua Zhu Michael I. Jordan Jiantao Jiao 84 33 0 29 Jan 2024
Long-term Safe Reinforcement Learning with Binary Feedback Akifumi Wachi Wataru Hashimoto Kazumune Hashimoto OffRL 88 3 0 08 Jan 2024
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint Wei Xiong Hanze Dong Chen Ye Ziqi Wang Han Zhong Heng Ji Nan Jiang Tong Zhang OffRL 135 204 0 18 Dec 2023
Time-Uniform Confidence Spheres for Means of Random Vectors Ben Chugg Hongjian Wang Aaditya Ramdas 203 5 0 14 Nov 2023
Exploration via linearly perturbed loss minimisation David Janz Shuai Liu Alex Ayoub Csaba Szepesvári 78 6 0 13 Nov 2023
Likelihood Ratio Confidence Sets for Sequential Decision Making N. Emmenegger Mojmír Mutný Andreas Krause 37 10 0 08 Nov 2023
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion Junghyun Lee Se-Young Yun Kwang-Sung Jun 110 13 0 28 Oct 2023
Experimental Designs for Heteroskedastic Variance Justin Weltz Tanner Fiez Alex Volfovsky Eric B. Laber Blake Mason Houssam Nassif Lalit P. Jain 79 5 0 06 Oct 2023
Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness Evgenii Chzhen Christophe Giraud Zerui Li Gilles Stoltz 42 1 0 25 May 2023
Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics Guy Tennenholtz Martin Mladenov Nadav Merlis Robert L. Axtell Craig Boutilier 53 0 0 24 May 2023
Borda Regret Minimization for Generalized Linear Dueling Bandits Yue Wu Tao Jin Hao Lou Farzad Farnoud Quanquan Gu 94 13 0 15 Mar 2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits Jing Wang Peng Zhao Zhihong Zhou 47 6 0 05 Mar 2023
Principled Reinforcement Learning with Human Feedback from Pairwise or $K$ -wise Comparisons Banghua Zhu Jiantao Jiao Michael I. Jordan OffRL 132 209 0 26 Jan 2023
Overcoming Prior Misspecification in Online Learning to Rank Javad Azizi Ofer Meshi M. Zoghi Maryam Karimzadehgan 84 1 0 25 Jan 2023
Confidence Sets under Generalized Self-Concordance Lang Liu Zaïd Harchaoui 51 1 0 31 Dec 2022
Reinforcement Learning in Credit Scoring and Underwriting S. Kiatsupaibul Pakawan Chansiripas Pojtanut Manopanjasiri Kantapong Visantavarakul Zheng Wen OffRL 14 0 0 15 Dec 2022
Risk-aware linear bandits with convex loss Patrick Saux Odalric-Ambrym Maillard 54 2 0 15 Sep 2022
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits Wonyoung Hedge Kim Kyungbok Lee M. Paik 95 14 0 15 Sep 2022
Delayed Feedback in Generalised Linear Bandits Revisited Benjamin Howson Ciara Pike-Burke Sarah Filippi 61 16 0 21 Jul 2022
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation Pihe Hu Yu Chen Longbo Huang 86 35 0 23 Jun 2022
Contextual Bandits with Knapsacks for a Conversion Model Zerui Li Gilles Stoltz 95 3 0 01 Jun 2022
Reinforcement Learning with a Terminator Guy Tennenholtz Nadav Merlis Lior Shani Shie Mannor Uri Shalit Gal Chechik Assaf Hallak Gal Dalal 65 5 0 30 May 2022
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits Gergely Neu Julia Olkhovskaya Matteo Papini Ludovic Schwartz 94 16 0 27 May 2022
Fast Rates in Pool-Based Batch Active Learning Claudio Gentile Zhilei Wang Tong Zhang 80 16 0 11 Feb 2022