Picture for Paul E. Chang

Paul E. Chang

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference

Add code
Oct 20, 2024
Viaarxiv icon

Memory-Based Dual Gaussian Processes for Sequential Learning

Add code
Jun 06, 2023
Viaarxiv icon

Fantasizing with Dual GPs in Bayesian Optimization and Active Learning

Add code
Nov 02, 2022
Viaarxiv icon

Dual Parameterization of Sparse Variational Gaussian Processes

Add code
Nov 05, 2021
Figure 1 for Dual Parameterization of Sparse Variational Gaussian Processes
Figure 2 for Dual Parameterization of Sparse Variational Gaussian Processes
Figure 3 for Dual Parameterization of Sparse Variational Gaussian Processes
Figure 4 for Dual Parameterization of Sparse Variational Gaussian Processes
Viaarxiv icon

Fast Variational Learning in State-Space Gaussian Process Models

Add code
Jul 17, 2020
Figure 1 for Fast Variational Learning in State-Space Gaussian Process Models
Figure 2 for Fast Variational Learning in State-Space Gaussian Process Models
Figure 3 for Fast Variational Learning in State-Space Gaussian Process Models
Viaarxiv icon

State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes

Add code
Jul 12, 2020
Figure 1 for State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
Figure 2 for State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
Figure 3 for State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
Figure 4 for State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
Viaarxiv icon