Scalable Variational Gaussian Process Classification

7 November 2014

Papers citing "Scalable Variational Gaussian Process Classification"

50 / 337 papers shown

Title
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning Julia Kaltenborn C. E. E. Lange Venkatesh Ramesh Philippe Brouillard Yaniv Gurwicz Chandni Nagda Jakob Runge Peer Nowack David Rolnick AILaw 77 18 0 07 Nov 2023
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images Pablo Morales-Álvarez Arne Schmidt José Miguel Hernández-Lobato Rafael Molina 49 9 0 30 Oct 2023
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks Balhae Kim Hyungi Lee Juho Lee BDL 52 3 0 27 Oct 2023
Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity Jack Miller Charles OÑeill Thang Bui 77 10 0 26 Oct 2023
Large-Scale Gaussian Processes via Alternating Projection Kaiwen Wu Jonathan Wenger Haydn Thomas Jones Geoff Pleiss Jacob R. Gardner 98 9 0 26 Oct 2023
UncertaintyPlayground: A Fast and Simplified Python Library for Uncertainty Estimation Ilia Azizi GP 21 0 0 23 Oct 2023
Exact and general decoupled solutions of the LMC Multitask Gaussian Process model Olivier Truffinet Karim Ammar J. Argaud B. Bouriquet 38 0 0 18 Oct 2023
Surrogate modeling for stochastic crack growth processes in structural health monitoring applications Nicholas E. Silionis K. Anyfantis AI4CE 74 0 0 11 Oct 2023
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes Jian Xu Shian Du Junmei Yang Qianli Ma Delu Zeng BDL 43 1 0 22 Sep 2023
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes M. Noack Hengrui Luo M. Risser GP 101 13 0 18 Sep 2023
Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows Jian Xu Shian Du Junmei Yang Xinghao Ding John Paisley Delu Zeng 58 0 0 17 Sep 2023
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-like Penalty Zhiyong Hu D. Dey 67 3 0 08 Sep 2023
A Unifying Variational Framework for Gaussian Process Motion Planning Lucas Cosier Rares Iordan Sicelukwanda Zwane Giovanni Franzese James T. Wilson M. Deisenroth Alexander Terenin Yasemin Bekiroglu 3DV 79 4 0 02 Sep 2023
Multi-Response Heteroscedastic Gaussian Process Models and Their Inference Taehee Lee Jun S. Liu 40 1 0 29 Aug 2023
Heterogeneous Multi-Task Gaussian Cox Processes Feng Zhou Quyu Kong Zhijie Deng Fengxiang He Peng Cui Jun Zhu 92 2 0 29 Aug 2023
Integrated Variational Fourier Features for Fast Spatial Modelling with Gaussian Processes Talay M Cheema C. Rasmussen GP 122 2 0 27 Aug 2023
Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets Wenlong Lyu Shoubo Hu Jie Chuai Zhitang Chen 27 2 0 09 Aug 2023
Function-Space Regularization for Deep Bayesian Classification J. Lin Joe Watson Pascal Klink Jan Peters UQCV BDL 66 1 0 12 Jul 2023
Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems Stephen Guth A. Mojahed T. Sapsis AI4CE 56 2 0 27 Jun 2023
Uncertainty Estimation for Molecules: Desiderata and Methods Tom Wollschlager Nicholas Gao Bertrand Charpentier Mohamed Amine Ketata Stephan Günnemann 78 10 0 20 Jun 2023
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels M. Bitzer Mona Meister Christoph Zimmer 68 9 0 16 Jun 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions Caglar Hizli S. T. John A. Juuti Tuure Saarinen Kirsi Pietiläinen Pekka Marttinen CML 113 1 0 16 Jun 2023
Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences Michael Shvartsman Benjamin Letham Stephen L. Keeley 68 0 0 09 Jun 2023
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling Akhil Vakayil Roshan Joseph 51 2 0 17 May 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes Louis C. Tiao Vincent Dutordoir Victor Picheny BDL 52 0 0 27 Apr 2023
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 87 36 0 17 Apr 2023
Actually Sparse Variational Gaussian Processes Harry Jake Cunningham Daniel Augusto R. M. A. de Souza So Takao Mark van der Wilk M. Deisenroth 89 7 0 11 Apr 2023
Self-Distillation for Gaussian Process Regression and Classification Kenneth Borup L. Andersen 54 2 0 05 Apr 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation M. Jung He Zhao Joanna Dipnall Lan Du UQCV BDL 66 8 0 04 Apr 2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization Raul Astudillo Zhiyuan Jerry Lin E. Bakshy P. Frazier 49 14 0 28 Mar 2023
Learning Energy Conserving Dynamics Efficiently with Hamiltonian Gaussian Processes M. Ross Markus Heinonen 52 2 0 03 Mar 2023
Interactive Segmentation as Gaussian Process Classification Minghao Zhou Hong Wang Qian Zhao Yuexiang Li Yawen Huang Deyu Meng Yefeng Zheng VLM 80 22 0 28 Feb 2023
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow Victor Picheny Joel Berkeley Henry B. Moss Hrvoje Stojić Uri Granta ... Sergio Pascual-Diaz Stratis Markou Jixiang Qing Nasrulloh Loka Ivo Couckuyt 79 17 0 16 Feb 2023
Gaussian Process-Gated Hierarchical Mixtures of Experts Yuhao Liu Marzieh Ajirak Petar M. Djurić MoE 50 1 0 09 Feb 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes Ba-Hien Tran Babak Shahbaba Stephan Mandt Maurizio Filippone SyDa BDL UQCV 81 7 0 09 Feb 2023
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning Arne Schmidt Pablo Morales-Álvarez Rafael Molina 73 13 0 08 Feb 2023
Learning Choice Functions with Gaussian Processes A. Benavoli Dario Azzimonti Dario Piga 47 5 0 01 Feb 2023
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization JIAN-PENG Cao Myeongjong Kang Felix Jimenez H. Sang Florian Schäfer Matthias Katzfuss 66 7 0 30 Jan 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation Henry B. Moss Sebastian W. Ober Victor Picheny 93 26 0 24 Jan 2023
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? V. Lalchand W. Bruinsma David R. Burt C. Rasmussen GP 23 6 0 04 Nov 2022
Isotropic Gaussian Processes on Finite Spaces of Graphs Viacheslav Borovitskiy Mohammad Reza Karimi Vignesh Ram Somnath Andreas Krause 90 7 0 03 Nov 2022
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning Paul E. Chang Prakhar Verma S. T. John Victor Picheny Henry B. Moss Arno Solin GP 88 6 0 02 Nov 2022
Interactive Imitation Learning of Bimanual Movement Primitives Giovanni Franzese L. Rosa Tim Verburg L. Peternel Jens Kober 123 28 0 28 Oct 2022
Learning Skills from Demonstrations: A Trend from Motion Primitives to Experience Abstraction Mehrdad Tavassoli S. Katyara Maria Pozzi Nikhil Deshpande D. Caldwell D. Prattichizzo 89 13 0 14 Oct 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture M. Jung He Zhao Joanna Dipnall Lan Du Lan Du UQCV EDL 96 12 0 06 Oct 2022
Boundary-Aware Uncertainty for Feature Attribution Explainers Davin Hill A. Masoomi Max Torop S. Ghimire Jennifer Dy FAtt 122 3 0 05 Oct 2022
Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds Noémie Jaquier Leonel Rozo Miguel González-Duque Viacheslav Borovitskiy Tamim Asfour 95 8 0 04 Oct 2022
Learning Certifiably Robust Controllers Using Fragile Perception Dawei Sun N. Musavi Geir Dullerud Sanjay Shakkottai Sayan Mitra 57 1 0 22 Sep 2022
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs V. Lalchand Aditya Ravuri Emma Dann Natsuhiko Kumasaka Dinithi Sumanaweera Rik G. H. Lindeboom Shaista Madad Sarah A. Teichmann Neil D. Lawrence BDL 58 5 0 14 Sep 2022
Revisiting Active Sets for Gaussian Process Decoders Pablo Moreno-Muñoz Cilie W. Feldager Søren Hauberg 90 3 0 10 Sep 2022