Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching

24 January 2019

Papers citing "Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching"

9 / 9 papers shown

Title
Neural Logistic Bandits Seoungbin Bae Dabeen Lee 183 0 0 04 May 2025
Graph Neural Thompson Sampling Shuang Wu Arash A. Amini 51 0 0 15 Jun 2024
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits Nicklas Werge Abdullah Akgul M. Kandemir 38 0 0 07 Jul 2023
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network Yun-Da Tsai Shou-De Lin 46 5 0 17 Feb 2022
Top-K Ranking Deep Contextual Bandits for Information Selection Systems Jade Freeman Michael Rawson 35 2 0 28 Jan 2022
Anti-Concentrated Confidence Bonuses for Scalable Exploration Jordan T. Ash Cyril Zhang Surbhi Goel A. Krishnamurthy Sham Kakade 43 6 0 21 Oct 2021
Neural Thompson Sampling Weitong Zhang Dongruo Zhou Lihong Li Quanquan Gu 34 114 0 02 Oct 2020
Neural Contextual Bandits with UCB-based Exploration Dongruo Zhou Lihong Li Quanquan Gu 36 15 0 11 Nov 2019
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 267 13,368 0 25 Aug 2014