Meta-learning to Calibrate Gaussian Processes with Deep Kernels for
Regression Uncertainty Estimation

Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation

13 December 2023

Atsutoshi Kumagai

Papers citing "Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation"

18 / 18 papers shown

Title
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling Tung Nguyen Aditya Grover BDL UQCV 68 106 0 09 Jul 2022
Loss function based second-order Jensen inequality and its application to particle variational inference Futoshi Futami Tomoharu Iwata N. Ueda Issei Sato Masashi Sugiyama 43 4 0 09 Jun 2021
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification Youngseog Chung Willie Neiswanger I. Char J. Schneider UQCV 148 88 0 18 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 269 1,911 0 12 Nov 2020
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles Tárik S. Salem H. Langseth H. Ramampiaro UQCV 52 36 0 19 Jul 2020
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 74 29 0 28 May 2019
Conformal calibrators V. Vovk Ivan Petej Paolo Toccaceli A. Gammerman 188 26 0 18 Feb 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 82 806 0 07 Feb 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 88 440 0 17 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 672 8,496 0 03 Jan 2019
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 85 700 0 04 Jul 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 82 928 0 21 May 2018
Fast calibrated additive quantile regression Matteo Fasiolo S. Wood Margaux Zaffran Raphael Nedellec Y. Goude 36 197 0 11 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 68 1,732 0 08 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 347 7,316 0 13 Jun 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 232 885 0 06 Nov 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 114 944 0 18 Feb 2015