Chemokinesis and the Curse of Dimensionality
Published:
Chemokinesis is movement whose speed depends on a local chemical signal, without any directional sensing.
Posts by Tags
high-dimensional-statistics
machine-learning
Three Underrated Theorems in Probability
Published:
Probability theory has a few results that receive most of the attention: the central limit theorem, Bayes’ rule, the law of large numbers. These are foundational and rightly so. But there are other theorems that quietly shape how statisticians and machine learning researchers think about convergence, uncertainty, and estimation, yet rarely appear in standard courses. Here are three that I have found particularly useful.
optimization
Chemokinesis and the Curse of Dimensionality
Published:
Chemokinesis is movement whose speed depends on a local chemical signal, without any directional sensing.
probability
Chemokinesis and the Curse of Dimensionality
Published:
Chemokinesis is movement whose speed depends on a local chemical signal, without any directional sensing.
Three Underrated Theorems in Probability
Published:
Probability theory has a few results that receive most of the attention: the central limit theorem, Bayes’ rule, the law of large numbers. These are foundational and rightly so. But there are other theorems that quietly shape how statisticians and machine learning researchers think about convergence, uncertainty, and estimation, yet rarely appear in standard courses. Here are three that I have found particularly useful.
statistics
Three Underrated Theorems in Probability
Published:
Probability theory has a few results that receive most of the attention: the central limit theorem, Bayes’ rule, the law of large numbers. These are foundational and rightly so. But there are other theorems that quietly shape how statisticians and machine learning researchers think about convergence, uncertainty, and estimation, yet rarely appear in standard courses. Here are three that I have found particularly useful.