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lacerbi
  • Member for 7 years, 1 month
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5 votes

Advantages of Evolutionary Algorithms vs. Gradient Based Optimization

0 votes

Converting random 6-faced dice results to decimal base

48 votes

Optimization when Cost Function Slow to Evaluate

2 votes
Accepted

Computing joint entropy from marginal distributions

9 votes
Accepted

Log marginal likelihood for Gaussian Process

14 votes

Why should I be Bayesian when my model is wrong?

7 votes
Accepted

Performance benchmarks for MCMC

11 votes

MCMC convergence

23 votes
Accepted

When are genetic algorithms a good choice for optimization?

3 votes
Accepted

Objective function of a Genetic Algorithm

12 votes
Accepted

When (and why) do Bayesians reject valid Bayesian methods?

9 votes
Accepted

Preventing Pareto smoothed importance sampling (PSIS-LOO) from failing

7 votes
Accepted

Hamiltonian/Hybrid MCMC 'mass matrix' terminology

16 votes
Accepted

Covariance functions or kernels - what exactly are they?

29 votes
Accepted

Can Machine Learning or Deep Learning algorithms be utilised to "improve" the sampling process of a MCMC technique?

12 votes

Best way to evaluate PDF estimation methods

2 votes

How to prove this Gaussian Mixture inequality? (Fitting/Overfitting)

1 vote

Gaussian process with boundaries on unobserved variables

2 votes
Accepted

Fit a function f on dataset X such that f(X) fits a histogram

4 votes

What is the equivalent for cdfs of MCMC for pdfs?

10 votes

Optimization of stochastic computer models

0 votes
Accepted

cross-validation and over-fitting

5 votes
Accepted

practical implementation detail of Bayesian Optimization

7 votes
Accepted

What optimization (maximization/minimization) methods exist contours with lots of kinks?

2 votes
Accepted

State-of-the-art sampling methods for different information about target density

5 votes
Accepted

Marginalization of GP regression hyperparameters with Laplace approximation