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Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching

Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching

Tom Zahavy
Shie Mannor
    HAI
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Papers citing "Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching"

5 / 5 papers shown
Title
Neural Logistic Bandits
Neural Logistic Bandits
Seoungbin Bae
Dabeen Lee
53
0
0
04 May 2025
Graph Neural Thompson Sampling
Graph Neural Thompson Sampling
Shuang Wu
Arash A. Amini
33
0
0
15 Jun 2024
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits
Nicklas Werge
Abdullah Akgul
M. Kandemir
17
0
0
07 Jul 2023
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network
Yun-Da Tsai
Shou-De Lin
38
5
0
17 Feb 2022
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
250
13,283
0
25 Aug 2014