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Artem Sobolev
  • Member for 7 years, 7 months
  • Last seen more than a week ago
27 votes
Accepted

Why is ROC AUC equivalent to the probability that two randomly-selected samples are correctly ranked?

22 votes
Accepted

How does the formula for generating correlated random variables work?

15 votes
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Independence and orthogonality

8 votes
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regression with scikit-learn with multiple outputs, svr or gbm possible?

7 votes
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What are the differences between filters learned in autoencoder and convolutional neural network?

7 votes
Accepted

Loss Function of scikit-learn LogisticRegression

7 votes

Why $p(y_n|y_{0:n-1})$ is a constant in Kalman filter derivation?

6 votes
Accepted

What does posterior "over" parameters $\alpha$ exactly mean?

6 votes
Accepted

An algebra of the joint and conditional 'operators'

5 votes

Data normalization for RBF kernel

5 votes

Books - Deep learning and recurrent neural networks

5 votes

Collaborative Filtering for Implicit Feedback Datasets

5 votes
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Mean field variational inference

5 votes
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Returning unlikely results from a probability distribution

5 votes

How to achieve variational autoencoder (VAE) with unrestricted input?

4 votes
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Gradient Descent and the No-Free-Lunch Theorem

4 votes

Mathematical notation for suppressing differentiation

4 votes

Meaning of latent features?

4 votes

Matrix Factorization in Recommender Systems: Multiple solutions?

3 votes

Mahalanobis distance

3 votes
Accepted

Can E[X|Y] be computed from E[X|Y,Z]?

3 votes
Accepted

Bayesian linear regression question

2 votes

Can I use an SVM for labeling data as more than one class

2 votes

Terminology Numerator Baye's Rule?

2 votes
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Implicit feature space of Power Kernel

2 votes

Decomposition of inverse covariance matrix

2 votes

Bounds on a conditional probability

2 votes
Accepted

Expected value or median of a function defined on sphere with uniform distribution

2 votes
Accepted

Is it always better to average out parameter uncertainty?

2 votes

Does the number of Required Monte Carlo simulations increase for including more input variables