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lacerbi
Helsinki, Finland
http://luigiacerbi.com
Assistant professor at the University of Helsinki, Finland.
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Top Questions
30
votes
Computation of the marginal likelihood from MCMC samples
machine-learning
bayesian
sampling
mcmc
likelihood
asked Apr 28, 2016 at 13:57
stats.stackexchange.com
22
votes
Can adaptive MCMC be trusted?
simulation
mcmc
random-generation
metropolis-hastings
asked Aug 8, 2016 at 1:51
stats.stackexchange.com
15
votes
Merging observations in Gaussian Process
regression
machine-learning
gaussian-process
asked Aug 31, 2015 at 15:00
stats.stackexchange.com
15
votes
Performance benchmarks for MCMC
machine-learning
bayesian
references
mcmc
asked Mar 30, 2016 at 15:12
stats.stackexchange.com
14
votes
Ill-conditioned covariance matrix in GP regression for Bayesian optimization
regression
covariance-matrix
gaussian-process
bayesian-optimization
asked Jan 7, 2016 at 19:05
stats.stackexchange.com
12
votes
Preventing Pareto smoothed importance sampling (PSIS-LOO) from failing
machine-learning
cross-validation
mcmc
pareto-distribution
importance-sampling
asked Mar 2, 2016 at 17:13
stats.stackexchange.com
10
votes
multivariate Effective Sample Size (multiESS): choice of batch size
sample-size
mcmc
asked Jul 19, 2016 at 15:50
stats.stackexchange.com
9
votes
choosing prior parameters for variational mixture of Gaussians
machine-learning
bayesian
prior
gaussian-mixture
variational-bayes
asked Apr 29, 2016 at 22:23
stats.stackexchange.com
9
votes
Bayesian online changepoint detection (marginal predictive distribution)
time-series
bayesian
inference
change-point
asked Sep 13, 2016 at 17:26
stats.stackexchange.com
8
votes
Marginalization of GP regression hyperparameters with Laplace approximation
regression
machine-learning
bayesian
gaussian-process
laplace-approximation
asked Sep 19, 2015 at 13:51
stats.stackexchange.com
1
2
next
Top Answers
49
Optimization when Cost Function Slow to Evaluate
stats.stackexchange.com
29
Can Machine Learning or Deep Learning algorithms be utilised to "improve" the sampling process of a MCMC technique?
stats.stackexchange.com
26
When are genetic algorithms a good choice for optimization?
stats.stackexchange.com
18
Covariance functions or kernels - what exactly are they?
stats.stackexchange.com
15
Why should I be Bayesian when my model is wrong?
stats.stackexchange.com
12
Best way to evaluate PDF estimation methods
stats.stackexchange.com
12
When (and why) do Bayesians reject valid Bayesian methods?
stats.stackexchange.com
12
MCMC convergence
stats.stackexchange.com
10
Preventing Pareto smoothed importance sampling (PSIS-LOO) from failing
stats.stackexchange.com
10
Optimization of stochastic computer models
stats.stackexchange.com
10
Log marginal likelihood for Gaussian Process
stats.stackexchange.com
7
What optimization (maximization/minimization) methods exist contours with lots of kinks?
stats.stackexchange.com
7
Performance benchmarks for MCMC
stats.stackexchange.com
7
Hamiltonian/Hybrid MCMC 'mass matrix' terminology
stats.stackexchange.com
6
practical implementation detail of Bayesian Optimization
stats.stackexchange.com
6
Advantages of Evolutionary Algorithms vs. Gradient Based Optimization
stats.stackexchange.com
5
Marginalization of GP regression hyperparameters with Laplace approximation
stats.stackexchange.com
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