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lacerbi
  • Member for 7 years
  • Last seen more than a week ago
48 votes

Optimization when Cost Function Slow to Evaluate

29 votes
Accepted

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

23 votes
Accepted

When are genetic algorithms a good choice for optimization?

16 votes
Accepted

Covariance functions or kernels - what exactly are they?

14 votes

Why should I be Bayesian when my model is wrong?

12 votes

Best way to evaluate PDF estimation methods

12 votes
Accepted

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

11 votes

MCMC convergence

10 votes

Optimization of stochastic computer models

9 votes
Accepted

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

9 votes
Accepted

Log marginal likelihood for Gaussian Process

7 votes
Accepted

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

7 votes
Accepted

Performance benchmarks for MCMC

7 votes
Accepted

Hamiltonian/Hybrid MCMC 'mass matrix' terminology

5 votes
Accepted

practical implementation detail of Bayesian Optimization

5 votes

Advantages of Evolutionary Algorithms vs. Gradient Based Optimization

4 votes
Accepted

Marginalization of GP regression hyperparameters with Laplace approximation

4 votes

What is the equivalent for cdfs of MCMC for pdfs?

3 votes
Accepted

Objective function of a Genetic Algorithm

2 votes

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

2 votes
Accepted

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

2 votes
Accepted

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

2 votes
Accepted

Computing joint entropy from marginal distributions

1 vote

Gaussian process with boundaries on unobserved variables

0 votes
Accepted

cross-validation and over-fitting

0 votes

Converting random 6-faced dice results to decimal base