The cross-nested logit model | EPFL Graph Search

Fundamental Limits of Gradient-Based Learning

Delves into the fundamental limits of gradient-based learning on neural networks, covering topics such as binomial theorem, exponential series, and moment-generating functions.

Linear Combinations: Moment-Generating Functions

Explores moment-generating functions, linear combinations, and normality of random variables.

Generating Functions: Properties and Applications

Explores generating functions, Laplace transform, and their role in probability distributions.

Red bus/Blue bus paradox

Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.

Exponential Family Models: Statistical Inference

Covers exponential family models and their statistical properties, including canonical statistics and cumulant-generating functions.