-
The purpose of the project is to pursue research in pancake sorting, which is a well-known problem in combinatorial optimization which goes back up to a paper of Microsoft founder Bill Gates and Papadimitriou
-
deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will
-
to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas
-
will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in
-
, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold
-
network models. Of particular interest are candidates who have a background and/or interest in one or more of the following: optimization and optimal control (esp. optimal control of partial differential
-
biology, bioinformatics, mathematics, physics, engineering, computer science, or a related field. Computational background in areas such as AI/deep learning, multiscale modeling, optimization, topological