Alexandre Passos ♦
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I'm a member of the IESL lab, studying with Andrew McCallum |
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35 Questions
1
votes
0
answers
177
views
Practical evidence for gradient-free stochastic approximation
0
votes
1
answers
199
views
Sparse coding for the jvm?
2
votes
2
answers
326
views
A guide to recent active learning research
2
votes
1
answers
805
views
What is the Bayes point machine?
0
votes
3
answers
656
views
Where is my mistake, or can the variational lower-bound on the log-likelihood be zero?
3
votes
2
answers
790
views
How would you maximize a sum of log-probabilities?
2
votes
1
answers
1k
views
How can I write the density function of the dirichlet process?
0
votes
5
answers
915
views
Expectation of the dot product of a multivariate normal vector
2
votes
1
answers
776
views
On the expectations necessary to do variational inference for LDA
3
votes
5
answers
1k
views
What are some relevant papers in one-class learning and outlier detection?
1
votes
1
answers
1k
views
What are the main advantages and disadvantages of dual decomposition versus A* (and search-based methods) for NLP applications?
2
votes
2
answers
1k
views
What is a (non) projective grammar/parser
2
votes
1
answers
545
views
Learning theoretical bounds for quantities other than accuracy
2
votes
2
answers
669
views
Replacing "the other" dirichlets by HDPs
1
votes
1
answers
912
views
Evaluating spectral clustering
509 Answers
808 Votes
784
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24
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50 Tags
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nlp
× 71 machine-learning × 64 classification × 63 optimization × 59 lda × 58 bayesian × 57 references × 52 graphical-models × 49 svm × 46 clustering × 41 |
variational-inference
× 31 sampling × 29 mcmc × 24 state-of-the-art × 22 statistics × 22 dirichlet × 21 similarity × 21 inference × 19 evaluation × 18 regularization × 18 |
natural-language-processing
× 18 paper-understanding × 17 regression × 17 crf × 16 data-mining × 16 gibbs × 16 probability × 16 markov-random-field × 15 deep-learning × 15 dataset × 15 |
kl-divergence
× 14 neural-networks × 14 search × 14 pca × 14 features × 14 summarization × 13 data × 13 kernel × 13 python × 12 likelihood × 11 |
loss-function
× 11 learning-theory × 11 algorithms × 11 log-linear × 11 logistic-regression × 11 em × 11 lsh × 11 parsing × 11 kernel-trick × 10 training × 10 |
23 Kudos
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● Appreciated Answer × 233 ● Esteemed Answer × 66 ● Cognoscenti × 65 ● Prominent Question × 35 ● Well-Known Question × 33 ● Conspicuous Question × 33 |
● Appreciated Question × 25 ● Prized Question × 10 ● Esteemed Question × 10 ● Adulated Answer × 6 ● Auto-Didact × 4 ● Adulated Question × 3 |
● Guide × 1 ● Discriminating × 1 ● Cherished Question × 1 ● Mentor × 1 ● On the record × 1 ● Commentator × 1 |
● Participant × 1 ● Revisionist × 1 ● Advocate × 1 ● Inquisitive × 1 ● Pronouncement × 1 |