(517a) Optimization and Machine Learning Nexus: Model-Based and Data-Driven Approaches | AIChE

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(517a) Optimization and Machine Learning Nexus: Model-Based and Data-Driven Approaches

Authors 

Sahinidis, N. - Presenter, Georgia Institute of Technology
We present recent methodological developments for three closely related optimization and machine learning problems:

  1. Global optimization of algebraic models.
  2. Model building from data while enforcing shape constraints.
  3. Optimization with data originating from simulations or experiments.

We explore the connections between these three problems and discuss their applications in various fields of science and engineering.

Topics 

Computing and Systems Engineering

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