Philemon Brakel
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9 Questions
3
votes
1
answers
964
views
Empirical vs variational Bayes
2
votes
3
answers
606
views
Multi-task learning for time-series data
1
votes
1
answers
474
views
Can a Metropolis sampler be tricked to walk into the wrong direction for extended periods of time?
3
votes
1
answers
860
views
MCMC and the inverse-Wishart distribution
3
votes
5
answers
928
views
negative results in machine learning
0
votes
1
answers
854
views
Looking for interesting sequential missing-data problems
1
votes
0
answers
483
views
About training Markov Random Fields with many latent variables
0
votes
1
answers
1k
views
Can the training error of AdaBoost sometimes increase after adding a new weak learner?
3
votes
1
answers
1k
views
Computing the Gauss-Newton matrix vector product for neural networks
38 Answers
95 Votes
95
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0
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50 Tags
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machine-learning
× 13 mcmc × 8 publications × 7 falsification × 7 time-series × 6 distributions × 6 optimization × 5 multi-task-learning × 5 metropolis × 5 neural-networks × 5 |
rbm
× 5 mixture × 4 markov-random-fields × 4 bolzmann-machines × 4 latent-variables × 4 graphical-models × 4 classification × 4 sgd × 4 hessian-free × 4 variational-inference × 3 |
priors
× 3 sampling × 3 hierarchical-bayes × 3 gibbs-sampling × 3 dirichlet-process × 3 bayesian × 3 hessian × 2 dbn × 2 naivebayes × 2 em × 2 |
regularization
× 2 gauss-newton × 2 linear-regression × 2 regression × 2 crf × 2 auc × 1 gaussian × 1 code × 1 boosting × 1 r-operator × 1 |
networks
× 1 rmse × 1 sigmoid × 1 functions × 1 learning × 1 textbooks × 1 mathematics × 1 nonlinear × 1 bayesian-networks × 1 rnn × 1 |
18 Kudos
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● Appreciated Answer × 22 ● Conspicuous Question × 9 ● Prominent Question × 9 ● Well-Known Question × 9 ● Cognoscenti × 7 ● Appreciated Question × 5 |
● Esteemed Answer × 3 ● Pronouncement × 1 ● Revisionist × 1 ● Prized Question × 1 ● Advocate × 1 ● Guide × 1 |
● Mentor × 1 ● Vigilant × 1 ● Inquisitive × 1 ● Blue Pencil × 1 ● Commentator × 1 ● Participant × 1 |