Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation
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Abstract (arXiv)
We propose a scalable stochastic variational approach to GP classification building on Polya-Gamma data augmentation and inducing points. Unlike former approaches, we obtain closed-form updates based on natural gradients that lead to efficient optimization. We evaluate the algorithm on real-world datasets containing up to 11 million data points and demonstrate that it is up to two orders of magnitude faster than the state-of-the-art while being competitive in terms of prediction performance.
Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Feb 2018.
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Citing papers per year: 2021: 4; 2022: 2; 2023: 4; 2024: 4; 2025: 1; 2026: 2.
17 papers.
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- 2022GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Modelscited by 87
- 2021Personalized Federated Learning with Gaussian Processescited by 76
- 2021GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learningcited by 26
- 2022Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Predictioncited by 21
- 2021Adaptive Inducing Points Selection For Gaussian Processescited by 8
- 2021Scalable Cross Validation Losses for Gaussian Process Modelscited by 6
- 2023Heterogeneous Multi-Task Gaussian Cox Processescited by 4
- 2024Efficient Nonparametric Tensor Decomposition for Binary and Count Datacited by 3
- 2024Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detectioncited by 1
- 2024Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentationcited by 1
- 2024Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regressioncited by 1
- 2023On the Calibration and Uncertainty with P'olya-Gamma Augmentation for Dialog Retrieval Modelscited by 0
5 more
- 2023Function-Space Regularization for Deep Bayesian Classificationcited by 0
- 2023Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifiercited by 0
- 2025Decentralized Gaussian Process Classification and an Application in Subsea Roboticscited by 0
- 2026Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classificationcited by 0
- 2026Video-based Surgical Skill Assessment Using Dynamics-and-Uncertainty-Aware Tree-based Gaussian Process Classifiercited by 0
- 2026Video-based Surgical Skill Assessment Using Dynamics-and-Uncertainty-Aware Tree-based Gaussian Process Classifier21 Sep 2026
- 2026Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification17 Mar 2026
- 2025Decentralized Gaussian Process Classification and an Application in Subsea Robotics19 Nov 2025
- 2024Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression14 Dec 2024
- 2024Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation19 May 2024
- 2024Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection21 Mar 2024
- 2024Efficient Nonparametric Tensor Decomposition for Binary and Count Data15 Jan 2024
- 2023Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier15 Dec 2023
- 2023Heterogeneous Multi-Task Gaussian Cox Processes29 Aug 2023
- 2023Function-Space Regularization for Deep Bayesian Classification12 Jul 2023
- 2023On the Calibration and Uncertainty with P'olya-Gamma Augmentation for Dialog Retrieval Models15 Mar 2023
- 2022GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models5 Oct 2022
5 more
- 2022Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction5 May 2022
- 2021Adaptive Inducing Points Selection For Gaussian Processes21 Jul 2021
- 2021Personalized Federated Learning with Gaussian Processes29 Jun 2021
- 2021Scalable Cross Validation Losses for Gaussian Process Models24 May 2021
- 2021GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning15 Feb 2021
- 2022GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Modelscited by 87
- 2021Personalized Federated Learning with Gaussian Processescited by 76
- 2021GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learningcited by 26
- 2022Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Predictioncited by 21
- 2021Adaptive Inducing Points Selection For Gaussian Processescited by 8
- 2021Scalable Cross Validation Losses for Gaussian Process Modelscited by 6
- 2023Heterogeneous Multi-Task Gaussian Cox Processescited by 4
- 2024Efficient Nonparametric Tensor Decomposition for Binary and Count Datacited by 3
- 2024Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detectioncited by 1
- 2024Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentationcited by 1
- 2024Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regressioncited by 1
- 2023On the Calibration and Uncertainty with P'olya-Gamma Augmentation for Dialog Retrieval Modelscited by 0
12 most cited of 17 All 17 (JSON)
- 2026Video-based Surgical Skill Assessment Using Dynamics-and-Uncertainty-Aware Tree-based Gaussian Process Classifier21 Sep 2026
- 2026Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification17 Mar 2026
- 2025Decentralized Gaussian Process Classification and an Application in Subsea Robotics19 Nov 2025
- 2024Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression14 Dec 2024
- 2024Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation19 May 2024
- 2024Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection21 Mar 2024
- 2024Efficient Nonparametric Tensor Decomposition for Binary and Count Data15 Jan 2024
- 2023Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier15 Dec 2023
- 2023Heterogeneous Multi-Task Gaussian Cox Processes29 Aug 2023
- 2023Function-Space Regularization for Deep Bayesian Classification12 Jul 2023
- 2023On the Calibration and Uncertainty with P'olya-Gamma Augmentation for Dialog Retrieval Models15 Mar 2023
- 2022GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models5 Oct 2022
12 newest of 17 All 17 (JSON)