Sample-Then-Optimize Batch Neural Thompson Sampling

13 October 2022

Papers citing "Sample-Then-Optimize Batch Neural Thompson Sampling"

9 / 9 papers shown

Title
Batched Bayesian optimization by maximizing the probability of including the optimum Jenna C. Fromer Runzhong Wang Mrunali Manjrekar Austin Tripp José Miguel Hernández-Lobato Connor W. Coley 47 0 0 08 Oct 2024
Graph Neural Thompson Sampling Shuang Wu Arash A. Amini 51 0 0 15 Jun 2024
Robustifying and Boosting Training-Free Neural Architecture Search Zhenfeng He Yao Shu Zhongxiang Dai K. H. Low 43 1 0 12 Mar 2024
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
Global Optimization with Parametric Function Approximation Chong Liu Yu-Xiang Wang 36 7 0 16 Nov 2022
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search Yao Shu Zhongxiang Dai Zhaoxuan Wu K. H. Low AI4CE 49 24 0 24 Jan 2022
Gaussian Process Bandit Optimization with Few Batches Zihan Li Jonathan Scarlett GP 131 47 0 15 Oct 2021
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 89 109 0 20 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016