User GENIVI-LEARNER

7 votes

2 answers

4k views

Intuitive Understanding of Expected Improvement for Gaussian Process

asked Sep 11, 2019 at 9:27

7 votes

0 answers

182 views

D-Optimal Criteria Vs Differential Shannon Entropy

optimization experiment-design entropy information-theory

asked Mar 29, 2020 at 18:01

4 votes

2 answers

452 views

Conflicting Definition of Information in Statistics | Fisher Vs Shannon

probability entropy information-theory fisher-information

asked Mar 31, 2020 at 13:38

4 votes

1 answer

5k views

Does Length Scale of the Kernel in Gaussian Process directly Relates to Correlation Length?

machine-learning correlation covariance gaussian-process

asked Jan 19, 2020 at 12:51

3 votes

1 answer

449 views

Maximum Likelihood Fit for Non-Linear Regression

regression machine-learning bayesian maximum-likelihood

asked Dec 14, 2019 at 16:15

3 votes

1 answer

1k views

Derivative of Gaussian Process (continued)

stochastic-processes gaussian-process derivative

asked Dec 25, 2019 at 21:34

3 votes

1 answer

533 views

Difference between Covariance and Mutual Information

probability correlation mutual-information

asked Mar 19, 2020 at 14:30

3 votes

1 answer

131 views

Shannon Information | Understanding from a Microstate Perspective

probability entropy information-theory

asked Apr 4, 2020 at 15:14

3 votes

1 answer

185 views

Are Dispersion and Entropy Related?

probability variance entropy

asked Apr 30, 2020 at 12:07

2 votes

0 answers

29 views

Parameters Quantification in Bayesian and Frequentist Approach

bayesian frequentist

asked Jun 15, 2020 at 14:09

2 votes

1 answer

50 views

Does Covariance Improve Variance of Random Variable?

variance covariance

asked Apr 21, 2020 at 14:03

2 votes

2 answers

968 views

Is Covariance Matrix analogous to Jacobian Matrix?

probability optimization covariance-matrix jacobian

asked Mar 5, 2020 at 16:14

2 votes

1 answer

62 views

Conditional Probability for Coin Flip Data

probability binomial-distribution conditional-probability

asked Apr 3, 2020 at 15:34

2 votes

0 answers

30 views

Mutual Information as a Uncertainty Reduction Criteria For Arbitrary Field

gaussian-process mutual-information

asked Mar 23, 2020 at 14:52

2 votes

0 answers

179 views

Fisher Information | Second Derivative of Likelihood Vs Second Derivative of Log Likelihood

maximum-likelihood fisher-information likelihood

asked Mar 27, 2020 at 21:11

2 votes

1 answer

210 views

Expression for Derivative of Hyperparameter of Kernel with respect to New Data

gaussian-process kernel-trick hyperparameter derivative

asked Jan 28, 2020 at 23:23

2 votes

1 answer

117 views

Measure of Similarity Between Scatter Data

mathematical-statistics analysis

asked Feb 18, 2020 at 16:48

1 vote

0 answers

187 views

Gaussian Process - The variance term in Kernel matrix is not reducing to 0 at the Location of the Data Point

gaussian-process covariance-matrix kernel-trick bayesian-optimization

asked Feb 28, 2020 at 21:47

1 vote

1 answer

34 views

Conceptual Difference between $p(\mathbf{f}_* \lvert \mathbf{X}_,\mathbf{f})$ and $ p(\mathbf{f}_ \lvert \mathbf{X}_*,\mathbf{X},\mathbf{y})$

probability conditional-probability gaussian-process

asked Feb 10, 2020 at 14:00

1 vote

1 answer

244 views

Relation between Optimization of Hyperparameters and Marginalization (Bayesian Optimization)

bayesian markov-chain-montecarlo gaussian-process

asked Oct 31, 2019 at 14:32

1 vote

1 answer

1k views

Sufficient Statistic for Normal Distribution | Mean, Variance & Kurtosis

probability normal-distribution sufficient-statistics kurtosis

asked Apr 21, 2020 at 12:39

1 vote

0 answers

53 views

Probability Assigned to Distance between Two People Random Walking in a Room [closed]

probability distributions random-walk measure-theory

asked Oct 18, 2020 at 22:11

1 vote

0 answers

37 views

Difference between measure and metric in context to information and mutual information

information-theory mutual-information measure-theory

asked Oct 29, 2020 at 21:32

0 votes

1 answer

129 views

Understanding Marginalization of Uncertain Variables

bayesian markov-chain-montecarlo gaussian-process

asked Nov 10, 2019 at 21:04

0 votes

1 answer

453 views

Dirac Delta Function in Bayesian Optimization

bayesian optimization gaussian-process bayesian-optimization dirac-delta

asked Nov 17, 2019 at 20:59

0 votes

2 answers

335 views

Understanding Product of individual PDF for Joint PDF

machine-learning probability distributions mathematical-statistics inference

asked Sep 8, 2019 at 13:21

0 votes

1 answer

402 views

Monte Carlo Sampling is performing better then Bayesian Optimization

sampling monte-carlo gaussian-process bayesian-optimization

asked Dec 15, 2019 at 18:23

0 votes

1 answer

51 views

Meaning of Neural Network Doesnt Imply More Structure on the Model

machine-learning neural-networks gaussian-process

asked Dec 19, 2019 at 11:35

0 votes

1 answer

245 views

Intuitive Understanding of the Effect of Correlation on Random Variables in Gaussian Process

gaussian-process covariance-matrix kernel-trick intuition

asked Feb 10, 2020 at 16:37

0 votes

0 answers

36 views

$\Sigma_*$ in Gaussian Process Prediction Formula

probability gaussian-process kernel-trick

asked Jan 29, 2020 at 14:12

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33 Questions

Intuitive Understanding of Expected Improvement for Gaussian Process

D-Optimal Criteria Vs Differential Shannon Entropy

Conflicting Definition of Information in Statistics | Fisher Vs Shannon

Does Length Scale of the Kernel in Gaussian Process directly Relates to Correlation Length?

Maximum Likelihood Fit for Non-Linear Regression

Derivative of Gaussian Process (continued)

Difference between Covariance and Mutual Information

Shannon Information | Understanding from a Microstate Perspective

Are Dispersion and Entropy Related?

Parameters Quantification in Bayesian and Frequentist Approach

Does Covariance Improve Variance of Random Variable?

Is Covariance Matrix analogous to Jacobian Matrix?

Conditional Probability for Coin Flip Data

Mutual Information as a Uncertainty Reduction Criteria For Arbitrary Field

Fisher Information | Second Derivative of Likelihood Vs Second Derivative of Log Likelihood

Expression for Derivative of Hyperparameter of Kernel with respect to New Data

Measure of Similarity Between Scatter Data

Gaussian Process - The variance term in Kernel matrix is not reducing to 0 at the Location of the Data Point

Conceptual Difference between $p(\mathbf{f}_* \lvert \mathbf{X}_,\mathbf{f})$ and $ p(\mathbf{f}_ \lvert \mathbf{X}_*,\mathbf{X},\mathbf{y})$

Relation between Optimization of Hyperparameters and Marginalization (Bayesian Optimization)

Sufficient Statistic for Normal Distribution | Mean, Variance & Kurtosis

Probability Assigned to Distance between Two People Random Walking in a Room [closed]

Difference between measure and metric in context to information and mutual information

Understanding Marginalization of Uncertain Variables

Dirac Delta Function in Bayesian Optimization

Understanding Product of individual PDF for Joint PDF

Monte Carlo Sampling is performing better then Bayesian Optimization

Meaning of Neural Network Doesnt Imply More Structure on the Model

Intuitive Understanding of the Effect of Correlation on Random Variables in Gaussian Process

$\Sigma_*$ in Gaussian Process Prediction Formula