Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← 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
A New Representation of Successor Features for Transfer across Dissimilar Environments
ICML 2021
Probabilistic robust linear quadratic regulators with Gaussian processes
L4DC 2021
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms
AISTATS 2021
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
AISTATS 2021
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning
NIPS 2021
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
NIPS 2021
Spatio-Temporal Variational Gaussian Processes
NIPS 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks
NIPS 2021
Learning Nonparametric Volterra Kernels with Gaussian Processes
NIPS 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
ICML 2021
Consistency of Gaussian Process Regression in Metric Spaces
JMLR 2021
Differentially Private Regression and Classification with Sparse Gaussian Processes
JMLR 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
ICML 2021
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
NIPS 2021
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis
JMLR 2021
Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters
AAAI 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
NIPS 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors
AAAI 2021
Bayesian Optimization of Function Networks
NIPS 2021
Structure-Aware Random Fourier Kernel for Graphs
NIPS 2021
Gaussian Process Priors for View-Aware Inference
AAAI 2021
Longitudinal Deep Kernel Gaussian Process Regression
AAAI 2021
High-dimensional Bayesian optimization with sparse axis-aligned subspaces
UAI 2021
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
AAAI 2021
Deconditional Downscaling with Gaussian Processes
NIPS 2021
<
1
…
8
9
10
…
23
>