An Information-Theoretic Framework for Unifying Active Learning Problems

19 December 2020

Papers citing "An Information-Theoretic Framework for Unifying Active Learning Problems"

5 / 5 papers shown

Title
PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra Gregory Kang Ruey Lau Szu Hui Ng Bryan Kian Hsiang Low PINN 50 0 0 10 Mar 2025
Training-Free Neural Active Learning with Initialization-Robustness Guarantees Apivich Hemachandra Zhongxiang Dai Jasraj Singh See-Kiong Ng K. H. Low AAML 46 6 0 07 Jun 2023
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation Benjamin Letham Phillip Guan Chase Tymms E. Bakshy Michael Shvartsman 35 10 0 18 Mar 2022
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 404 0 06 Mar 2017
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Ilija Bogunovic Jonathan Scarlett Andreas Krause V. Cevher 72 89 0 24 Oct 2016