Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation

18 February 2018

Papers citing "Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation"

10 / 10 papers shown

Title
Heterogeneous Multi-Task Gaussian Cox Processes Feng Zhou Quyu Kong Zhijie Deng Fengxiang He Peng Cui Jun Zhu 35 2 0 29 Aug 2023
Function-Space Regularization for Deep Bayesian Classification J. Lin Joe Watson Pascal Klink Jan Peters UQCV BDL 41 1 0 12 Jul 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models Tong Ye Shijing Si Jianzong Wang Ning Cheng Zhitao Li Jing Xiao 77 2 0 15 Mar 2023
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 39 117 0 05 Oct 2022
Adaptive Inducing Points Selection For Gaussian Processes Théo Galy-Fajou Manfred Opper 29 15 0 21 Jul 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 32 99 0 29 Jun 2021
Scalable Cross Validation Losses for Gaussian Process Models M. Jankowiak Geoff Pleiss 20 6 0 24 May 2021
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models Théo Galy-Fajou F. Wenzel Manfred Opper 29 4 0 26 Feb 2020
Extreme Classification via Adversarial Softmax Approximation Robert Bamler Stephan Mandt 30 23 0 15 Feb 2020
Learning Invariances using the Marginal Likelihood Mark van der Wilk Matthias Bauer S. T. John J. Hensman 36 83 0 16 Aug 2018