Bayesian Active Learning with Fully Bayesian Gaussian Processes

Bayesian Active Learning with Fully Bayesian Gaussian Processes

20 May 2022

Christoffer Riis

Francisco Antunes

Francisco Câmara Pereira

Papers citing "Bayesian Active Learning with Fully Bayesian Gaussian Processes"

14 / 14 papers shown

Title
LAPD: Langevin-Assisted Bayesian Active Learning for Physical Discovery Cindy Xiangrui Kong Haoyang Zheng Guang Lin AI4CE 47 0 0 04 Mar 2025
Robust Gaussian Processes via Relevance Pursuit Sebastian Ament Elizabeth Santorella David Eriksson Ben Letham Maximilian Balandat E. Bakshy GP 41 0 0 08 Jan 2025
Practical Bayesian Algorithm Execution via Posterior Sampling Chu Xin Cheng Raul Astudillo Thomas Desautels Yisong Yue 43 0 0 27 Oct 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 47 0 0 17 May 2024
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty Pratyush Kumar Singh Kathryn A. Farrell-Maupin D. Faghihi 40 6 0 13 Mar 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 52 2 0 22 Feb 2024
Bayesian Active Learning for Censored Regression F. B. Hüttel Christoffer Riis Filipe Rodrigues Francisco Câmara Pereira 42 1 0 19 Feb 2024
Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes Parikshit Pareek Deepjyoti Deka Sidhant Misra 17 0 0 15 Aug 2023
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach Masaki Adachi Satoshi Hayakawa Martin Jørgensen Xingchen Wan Vu Nguyen Harald Oberhauser Michael A. Osborne 28 5 0 09 Jun 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning Carl Hvarfner E. Hellsten Frank Hutter Luigi Nardi GP 43 15 0 21 Apr 2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems M. Bitzer Mona Meister Christoph Zimmer 34 4 0 17 Mar 2023
Active learning for data streams: a survey Davide Cacciarelli M. Kulahci 30 40 0 17 Feb 2023
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces Masaki Adachi Satoshi Hayakawa Saad Hamid Martin Jørgensen Harald Oberhauser M. A. Osborne 31 7 0 27 Jan 2023
Targeted active learning for probabilistic models Christopher Tosh Mauricio Tec Wesley Tansey 29 2 0 21 Oct 2022