18 What is sample efficiency, and how can importance sampling be used to achieve it? 2018-02-07T11:20:37.190

11 How does noise affect generalization? 2016-08-02T15:40:20.623

8 Is Nassim Taleb right about AI not being able to accurately predict certain types of distributions? 2018-08-16T18:10:03.303

7 What are some examples of statistical AI applied to real-world problems? 2016-08-02T16:49:40.830

7 Why exactly do neural networks require i.i.d. data? 2019-02-23T13:30:07.443

6 What are the differences in scope between statistical AI and classical AI? 2018-11-05T15:49:30.983

5 What is Statistical relational learning? 2016-08-22T05:47:31.883

5 Are neural networks statistical models? 2019-01-29T11:08:22.457

4 How to figure out which words have the same meaning in two different languages? 2018-01-24T21:38:41.783

4 Methodology bias in AI textbooks 2018-11-07T00:34:19.327

4 Is there any measure of separability of classes? 2019-10-20T14:37:20.490

3 With gradient descent w/MSE on a regression, must/should every Epoch use the exact same training samples? 2017-01-03T15:10:34.037

3 Is there a way of computing a prominence score based on the prevalence of features in an image? 2018-01-27T07:43:03.613

3 Finding the right questions to increase accuracy in classification 2018-07-12T14:10:49.160

3 Reinforcement learning objective as conditional expectations 2018-10-28T23:25:41.620

3 What makes a machine learning algorithm a low variance one or a high variance one? 2019-01-12T14:55:36.597

3 What's going on in the equation of the variational lower bound? 2019-10-21T05:32:57.103

3 Is maximum likelihood estimation meaningless for a dataset of only outliers? 2020-04-04T05:12:56.393

3 Simplification of expected reward under the limit in continuous tasks 2020-05-08T14:41:00.410

2 Does the correlation between inputs affect the model performance? 2019-01-02T08:58:05.600

2 When a linear discriminant could give excellent or possibly even the optimal classification accurcy? 2019-08-12T06:46:30.270

2 How can supervised learning be viewed as a conditional probability of the labels given the inputs? 2020-01-24T23:01:36.417

2 Is traditional machine learning obsolete given that neural networks typically outperform them? 2020-02-18T08:42:01.137

2 How to calculate the data noise variance for a prediction interval? 2020-05-12T19:31:25.090

1 Confidence interval around a DNN prediction 2018-07-25T13:00:25.777

1 Why do we need Upsampling and Downsampling in Progressive Growing of Gans 2018-08-16T17:41:27.630

1 Can we derive the distribution of a random variable based on a dependent random variable's distribution? 2019-02-11T03:34:20.913

1 Auto-regression - Reduce error in prediction 2019-04-20T10:19:55.007

1 Keras correlation coefficient as network metric in R 2019-11-28T00:10:11.997

1 What is the difference between an generalised estimating equation and a recurrent neural network? 2020-02-22T10:42:07.060

1 Is there any way to apply linear transformations on a vector other than matrix multiplication? 2020-04-12T12:07:11.683

1 Do the variance and bias belong to the policy or value functions? 2020-04-22T11:50:10.677

1 Trying to proof off policy TD Learning formula 2020-08-10T12:13:35.000

0 Are standard deviation, variance, skew good features for ML? 2018-05-16T08:48:39.410

0 How to build naive bayes graph from data 2019-09-07T09:30:52.217

0 How to calculate the false positives and negatives? 2019-09-11T15:30:21.440

0 How can I find the correlation between the input and output of a neural network? 2020-04-30T05:14:46.093

0 Methods in training models to minimize distance between statistical summaries of data and samples from model, to get a better approximation function 2020-05-18T13:52:49.303