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bayesian regression

25 papers

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Co-occurring keywords

gaussian process (1200) bayesian inference (1907) gaussian process regression (133) markov chain monte carlo (725) gaussian processes (89) posterior consistency (16) kernel methods (1097) variational inference (2069) multi-output gaussian process (11) compositional function (5)

Papers

Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood AAAI 2025
Bayesian Regression Markets JMLR 2024
Measuring acoustic dissimilarity of hierarchical markers in task-oriented dialogue with MFCC-based dynamic time warping INTERSPEECH 2024
Posterior Consistency for Bayesian Relevance Vector Machines JMLR 2023
Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023
Fourier Representations for Black-Box Optimization over Categorical Variables AAAI 2022
Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022
On the inability of Gaussian process regression to optimally learn compositional functions NIPS 2022
Robust Bayesian Regression via Hard Thresholding NIPS 2022
Sparse Additive Gaussian Process Regression JMLR 2022
Spatial Multivariate Trees for Big Data Bayesian Regression JMLR 2022
Bayesian Topic Regression for Causal Inference EMNLP 2021
Deep Structured Mixtures of Gaussian Processes AISTATS 2020
Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models JMLR 2020
Band-Limited Gaussian Processes: The Sinc Kernel NIPS 2019
Multi-way Interacting Regression via Factorization Machines NIPS 2017
Bayesian Tensor Regression JMLR 2017
Multiresolution Kernel Approximation for Gaussian Process Regression NIPS 2017
Linearly constrained Gaussian processes NIPS 2017
Student-t Process Regression with Student-t Likelihood IJCAI 2017
Probing the Compositionality of Intuitive Functions NIPS 2016
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews ACML 2016
Learning curves for multi-task Gaussian process regression NIPS 2012
A Marginalized Particle Gaussian Process Regression NIPS 2012
Bayesian Kernel Shaping for Learning Control NIPS 2008