Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal

2 March 2023

Papers citing "Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal"

9 / 9 papers shown

Title
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks Giorgio Morales John W. Sheppard 67 0 0 13 Dec 2024
Active learning for regression in engineering populations: A risk-informed approach Daniel R. Clarkson L. Bull C. Wickramarachchi Elizabeth J. Cross T. Rogers Keith Worden Nikolaos Dervilis A. Hughes 18 0 0 06 Sep 2024
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks Graham Pash M. Hassanaly S. Yellapantula AI4CE 18 0 0 28 Feb 2024
Large-scale Pretraining Improves Sample Efficiency of Active Learning based Molecule Virtual Screening Zhonglin Cao Simone Sciabola Ye Wang 27 1 0 20 Sep 2023
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach Arman Rahbar Niklas Åkerblom M. Chehreghani 13 0 0 21 Aug 2023
Multi-Fidelity Active Learning with GFlowNets Alex Hernandez-Garcia Nikita Saxena Moksh Jain Cheng-Hao Liu Yoshua Bengio AI4CE 14 14 0 20 Jun 2023
Efficient training of physics-informed neural networks via importance sampling M. A. Nabian R. J. Gladstone Hadi Meidani DiffM PINN 66 218 0 26 Apr 2021
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 357 0 06 Mar 2017
A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem Jingpeng Li U. Aickelin 119 41 0 25 Jan 2008