Picture for Petros Dellaportas

Petros Dellaportas

Can independent Metropolis beat crude Monte Carlo?

Add code
Jun 25, 2024
Viaarxiv icon

Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring

Add code
Apr 25, 2024
Viaarxiv icon

Learning variational autoencoders via MCMC speed measures

Add code
Aug 26, 2023
Viaarxiv icon

How Good are Low-Rank Approximations in Gaussian Process Regression?

Add code
Dec 14, 2021
Figure 1 for How Good are Low-Rank Approximations in Gaussian Process Regression?
Figure 2 for How Good are Low-Rank Approximations in Gaussian Process Regression?
Figure 3 for How Good are Low-Rank Approximations in Gaussian Process Regression?
Figure 4 for How Good are Low-Rank Approximations in Gaussian Process Regression?
Viaarxiv icon

Entropy-based adaptive Hamiltonian Monte Carlo

Add code
Oct 27, 2021
Figure 1 for Entropy-based adaptive Hamiltonian Monte Carlo
Figure 2 for Entropy-based adaptive Hamiltonian Monte Carlo
Figure 3 for Entropy-based adaptive Hamiltonian Monte Carlo
Figure 4 for Entropy-based adaptive Hamiltonian Monte Carlo
Viaarxiv icon

Scalable and Interpretable Marked Point Processes

Add code
May 30, 2021
Figure 1 for Scalable and Interpretable Marked Point Processes
Figure 2 for Scalable and Interpretable Marked Point Processes
Figure 3 for Scalable and Interpretable Marked Point Processes
Figure 4 for Scalable and Interpretable Marked Point Processes
Viaarxiv icon

Faster Gaussian Processes via Deep Embeddings

Add code
Apr 03, 2020
Figure 1 for Faster Gaussian Processes via Deep Embeddings
Figure 2 for Faster Gaussian Processes via Deep Embeddings
Figure 3 for Faster Gaussian Processes via Deep Embeddings
Figure 4 for Faster Gaussian Processes via Deep Embeddings
Viaarxiv icon

Gradient-based Adaptive Markov Chain Monte Carlo

Add code
Nov 04, 2019
Figure 1 for Gradient-based Adaptive Markov Chain Monte Carlo
Figure 2 for Gradient-based Adaptive Markov Chain Monte Carlo
Figure 3 for Gradient-based Adaptive Markov Chain Monte Carlo
Figure 4 for Gradient-based Adaptive Markov Chain Monte Carlo
Viaarxiv icon

Copula-like Variational Inference

Add code
Apr 15, 2019
Figure 1 for Copula-like Variational Inference
Figure 2 for Copula-like Variational Inference
Figure 3 for Copula-like Variational Inference
Figure 4 for Copula-like Variational Inference
Viaarxiv icon

Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers

Add code
Sep 20, 2018
Figure 1 for Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
Figure 2 for Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
Figure 3 for Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
Figure 4 for Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
Viaarxiv icon