Maren Mahsereci | projects

research

Stochastic optimization

Deep learning optimizers are at the heart of the success of deep learning models.

Probabilistic numerics

Probabilistic numerics is a scientific field at the intersection of statistics, machine learning and applied mathematics, where tasks in numerical analysis are seen as problems of statistical, probabilistic, or Bayesian inference.

Numerical integration

Bayesian quadrature is a model-based approach to numerical integration, especially efficient for low-dimensional integrals.

software

EmuKit

EmuKit is a highly adaptable Python toolkit for decision-making under uncertainty.

ProbNum

ProbNum provides numerical solvers for linear systems, differential equations, integrals and linear systems in Python.