Gaussian Processes
666 papers
Papers per year
2
1
1
7
13
10
7
18
11
17
22
30
19
19
33
38
44
53
53
64
73
64
49
18
'5
'10
'15
'20
'25
Papers
Kermut: Composite kernel regression for protein variant effects
NeurIPS 2024
Kernel Thinning
JMLR 2024
Large-Scale Gaussian Processes via Alternating Projection
AISTATS 2024
Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability
UAI 2024
Localized Zeroth-Order Prompt Optimization
NeurIPS 2024
Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
ICLR 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning
NeurIPS 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
NeurIPS 2024
Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity
UAI 2024
NeoRL: Efficient Exploration for Nonepisodic RL
NeurIPS 2024
Noise-Aware Differentially Private Regression via Meta-Learning
NeurIPS 2024
Nonstationary Sparse Spectral Permanental Process
NeurIPS 2024
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
JMLR 2024
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
NeurIPS 2024
Response Time Improves Gaussian Process Models for Perception and Preferences
UAI 2024
Robust Gaussian Processes via Relevance Pursuit
NeurIPS 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
NeurIPS 2024
Sample-Constrained Black Box Optimization for Audio Personalization
AAAI 2024
Sample-efficient Bayesian Optimisation Using Known Invariances
NeurIPS 2024
Scalable Meta-Learning with Gaussian Processes
AISTATS 2024
Sparse Variational Student-t Processes
AAAI 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces
JMLR 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case
JMLR 2024
Stein Random Feature Regression
UAI 2024
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics
IJCAI 2024