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Methodology
← Bayesian & Probabilistic
Machine Learning
›
Bayesian & Probabilistic
›
Gaussian Processes
568 directly classified papers
Papers per year
2002: 2
2003: 1
2005: 1
2006: 7
2007: 12
2008: 10
2009: 6
2010: 16
2011: 9
2012: 15
2013: 22
2014: 26
2015: 15
2016: 19
2017: 32
2018: 37
2019: 44
2020: 52
2021: 50
2022: 57
2023: 68
2024: 54
2025: 13
Papers
Multi-resolution Multi-task Gaussian Processes
NIPS 2019
Exact Gaussian Processes on a Million Data Points
NIPS 2019
Bayesian Optimization under Heavy-tailed Payoffs
NIPS 2019
Bayesian Layers: A Module for Neural Network Uncertainty
NIPS 2019
Safe Exploration for Interactive Machine Learning
NIPS 2019
Hyperparameter Learning via Distributional Transfer
NIPS 2019
No-Regret Learning in Unknown Games with Correlated Payoffs
NIPS 2019
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes
NIPS 2019
Recovering Bandits
NIPS 2019
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
NIPS 2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
NIPS 2019
Band-Limited Gaussian Processes: The Sinc Kernel
NIPS 2019
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
NIPS 2019
Differentially Private Database Release via Kernel Mean Embeddings
ICML 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
ICML 2018
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design
ICML 2018
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
NIPS 2018
Differential networking with path weights in Gaussian trees
PGM 2018
Scalable Generalized Dynamic Topic Models
AISTATS 2018
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling
AISTATS 2018
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
AISTATS 2018
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models
AISTATS 2018
Feature-correlation-aware Gaussian Process Latent Variable Model
ACML 2018
Variational Fourier Features for Gaussian Processes
JMLR 2018
Patchwork Kriging for Large-scale Gaussian Process Regression
JMLR 2018
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