/mle-autodiff

Experiments: Maximum Likelihood Estimation, AutoDiff, Survival Analysis

MIT LicenseMIT

mle-autodiff

Experiments using Automatic Differentiation with DiffSharp for Maximum Likelihood Estimation.

Notebooks

01_simple_weibull.dib

See blog post.

02_optimizers.dib

Exploring function minimization using the built-in SGD and Adam optimizers.

Questions

  • Terminate gradient descent with built-in optimizers
  • Using built-in optimizers with functions taking mixed types (ex: bool and float)
  • Built-in optimizers: set objective to minimization