Neural Contextual Bandits without Regret

7 July 2021

Papers citing "Neural Contextual Bandits without Regret"

34 / 34 papers shown

Title
Neural Logistic Bandits Seoungbin Bae Dabeen Lee 139 0 0 04 May 2025
Neural Contextual Bandits Under Delayed Feedback Constraints Mohammadali Moghimi Sharu Theresa Jose Shana Moothedath 37 0 0 16 Apr 2025
Sparse Nonparametric Contextual Bandits Hamish Flynn Julia Olkhovskaya Paul Rognon-Vael 51 0 0 20 Mar 2025
Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization Kevin Li Eric Laber 55 0 0 13 Mar 2025
LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention H. Khosravi Mohammad Reza Shafie Ahmed Shoyeb Raihan Srinjoy Das I. Imtiaz Ahmed 34 0 0 01 Mar 2025
Online Clustering of Dueling Bandits Zhiyong Wang Jiahang Sun Mingze Kong Jize Xie Qinghua Hu J. C. Lui Zhongxiang Dai 83 0 0 04 Feb 2025
Sample-efficient Bayesian Optimisation Using Known Invariances Theodore Brown Alexandru Cioba Ilija Bogunovic 30 2 0 22 Oct 2024
Meta Clustering of Neural Bandits Yikun Ban Yunzhe Qi Tianxin Wei Lihui Liu Jingrui He 42 2 0 10 Aug 2024
Neural Dueling Bandits: Preference-Based Optimization with Human Feedback Arun Verma Zhongxiang Dai Xiaoqiang Lin P. Jaillet K. H. Low 37 5 0 24 Jul 2024
Graph Neural Thompson Sampling Shuang Wu Arash A. Amini 48 0 0 15 Jun 2024
Stochastic Bandits with ReLU Neural Networks Kan Xu Hamsa Bastani Surbhi Goel Osbert Bastani 27 0 0 12 May 2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations Yao Shu Jiongfeng Fang Y. He Fei Richard Yu 19 0 0 18 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 42 1 0 13 Feb 2024
Neural Contextual Bandits for Personalized Recommendation Yikun Ban Yunzhe Qi Jingrui He 39 5 0 21 Dec 2023
LLMs-augmented Contextual Bandit Ali Baheri Cecilia Ovesdotter Alm OffRL 39 1 0 03 Nov 2023
Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling Zheqing Zhu Yueyang Liu Xu Kuang Benjamin Van Roy AI4TS 29 0 0 11 Oct 2023
On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective Jonathan Wenger Felix Dangel Agustinus Kristiadi 33 0 0 29 Sep 2023
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits Nicklas Werge Abdullah Akgul M. Kandemir 38 0 0 07 Jul 2023
Kernelized Reinforcement Learning with Order Optimal Regret Bounds Sattar Vakili Julia Olkhovskaya 18 9 0 13 Jun 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees Apivich Hemachandra Zhongxiang Dai Jasraj Singh See-Kiong Ng K. H. Low AAML 36 6 0 07 Jun 2023
Representation-Driven Reinforcement Learning Ofir Nabati Guy Tennenholtz Shie Mannor 20 1 0 31 May 2023
Neural Exploitation and Exploration of Contextual Bandits Yikun Ban Yuchen Yan A. Banerjee Jingrui He 42 8 0 05 May 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits Yusha Liu Aarti Singh 19 1 0 26 Apr 2023
Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks Dat Phan-Trong Hung The Tran Sunil R. Gupta 30 6 0 03 Mar 2023
Sample-Then-Optimize Batch Neural Thompson Sampling Zhongxiang Dai Yao Shu Bryan Kian Hsiang Low P. Jaillet AAML 25 24 0 13 Oct 2022
Maximum entropy exploration in contextual bandits with neural networks and energy based models A. Elwood Marco Leonardi A. Mohamed A. Rozza 16 1 0 12 Oct 2022
Graph Neural Network Bandits Parnian Kassraie Andreas Krause Ilija Bogunovic 26 11 0 13 Jul 2022
Contextual Bandits with Large Action Spaces: Made Practical Yinglun Zhu Dylan J. Foster John Langford Paul Mineiro 33 29 0 12 Jul 2022
Provably and Practically Efficient Neural Contextual Bandits Sudeep Salgia Sattar Vakili Qing Zhao 20 8 0 31 May 2022
Federated Neural Bandits Zhongxiang Dai Yao Shu Arun Verma Flint Xiaofeng Fan Bryan Kian Hsiang Low P. Jaillet FedML 32 13 0 28 May 2022
Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits Yu-Heng Hung Ping-Chun Hsieh 13 2 0 08 Mar 2022
Contextual Games: Multi-Agent Learning with Side Information Pier Giuseppe Sessa Ilija Bogunovic Andreas Krause Maryam Kamgarpour 46 21 0 13 Jul 2021
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 46 89 0 25 Feb 2021
Regret Bounds for Noise-Free Kernel-Based Bandits Sattar Vakili 20 3 0 12 Feb 2020