Gael Varoquaux - user overview - MetaOptimize Q+A

Gael Varoquaux

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member since	Nov 06 '10 at 06:00
last seen	Feb 02 '14 at 05:30

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2 Questions

1

votes

2

answers

2k

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Prediction and statistical Inference: theoretical results

Apr 23 '11 at 07:21 Gael Varoquaux921●4●14●26

selection inference l1 identification consistency lasso

4

votes

2

answers

2k

views

Least Square by randomized projections

Nov 25 '10 at 16:40 Gael Varoquaux921●4●14●26

large data squares randomized-projections least

28 Answers

Does distance matrix need to be euclidean for DBSCAN ?

Sparse inverse covariance estimation in high dimensional data

Why are SVMs so popular?

Hybrid (K-means + Hierarchical ) clustering

randomized greedy forward feature selection?

High-dimensional classification

Finding a sparse square root approximation of a matrix

Simple distributed and approximate linear regression

Selecting features correlated with those chosen by L1 regularization or other sparse methods?

Feature selection in high-dimensional feature space

How to use PCA for classification?

Compressive Sensing - Conditions for recovery

Are researchers interested in Statistical Learning Theory? If not, why?

What is your favorite machine learning book ?

Regularizing a covariance matrix?

Libraries for online learning

exemplary documentation for open source machine learning code

When to use L1 regularization and when L2?

Prediction and statistical Inference: theoretical results

How does one find the intrinsic dimensionality of the data when singular values decay slowly?

NIPS 2010 - what do you like?

Lasso or Dantzig: which one works better?

Component analysis or Clustering to discover strongly correlated features?

What book/articles/course/survey on graphic models would you recommend if a machine learning student wants to dive in this field?

"smart" unsupervised dimensionality reduction and feature selection for "large" problems

randomized methods for computing SVD

Which programming language has the best repository of machine learning libraries?

Why use k-means in place of Mean Shift clustering?

50 Votes

49

1

50 Tags

high-dimensional × 7
least × 6
large × 6
data × 6
randomized-projections × 6
squares × 6
machine-learning × 5
pca × 4
l1 × 4
classification × 4

dependency × 4
clustering × 4
binary-dependent-variable × 4
feature-selection × 4
selection × 3
logistic-regression × 3
matrix × 3
lasso × 3
svm × 3
java × 2

online-learning × 2
regularization × 2
k-means × 2
covariance × 2
sparse × 2
features × 2
inference × 2
dimensionality-reduction × 2
libraries × 2
consistency × 2

linear-regression × 2
identification × 2
python × 2
compressed-sensing × 1
forest × 1
references × 1
ensemble × 1
mean-shift × 1
lda × 1
code × 1

open-source × 1
nips × 1
distance × 1
learning-theory × 1
community × 1
svd × 1
dantzig × 1
implementation × 1
correlation × 1
graphic-models × 1

20 Kudos

● Appreciated Answer × 15
● Esteemed Answer × 5
● Revisitation × 3
● Adulated Answer × 2
● Prominent Question × 2
● Conspicuous Question × 2

● Well-Known Question × 2
● Appreciated Question × 1
● Pronouncement × 1
● Cognoscenti × 1
● Commentator × 1
● Esteemed Question × 1

● Discriminating × 1
● Auto-Didact × 1
● Guide × 1
● Blue Pencil × 1
● Mentor × 1
● Advocate × 1

● Prized Question × 1
● Inquisitive × 1

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