Non–Adiabatic Transitions near Avoided Crossings: Theory and Numerics Raoul Bourquina, Vasile Gradinarua,

Source URL: www.math.vt.edu

• Limit of a function
• Adiabatic theorem
• BornOppenheimer approximation
• Ogonek

The Collaborative Research Center (CRC) 1173 “Wave phenomena – analysis and numerics” at the Karlsruhe Institute of Technology announces the position of a Junior Research Group Leader in Mathematics in one of the r

Source URL: www.waves.kit.edu

• Differential equation
• Partial differential equation
• Basque Center for Applied Mathematics

Learning with probabilities as inputs, using kernels Arthur Gretton Gatsby Computational Neuroscience Unit NIPS workshop on Probabilistic Numerics, 2015

Source URL: probabilistic-numerics.org

Distilling Intractable Generative Models Iain Murray School of Informatics University of Edinburgh

Source URL: probabilistic-numerics.org

Active Learning of Model Evidence Using Bayesian Quadrature Michael A. Osborne University of Oxford

Source URL: probabilistic-numerics.org

Quasi-Newton Methods: A New Direction Philipp Hennig Martin Kiefel

Source URL: probabilistic-numerics.org

Can we estimate a constant? Christian P. Robert Universit´e Paris-Dauphine, Paris & University of Warwick, Coventry December 11, 2015

Source URL: probabilistic-numerics.org

c 2015 Philipp Hennig  SIAM J. OPTIM. Vol. 25, No. 1, pp. 234–260

Source URL: probabilistic-numerics.org

Introduction Bayesian inference over the Lipschitz constant Bayesian Lipschitz quadrature Extensions and Future Work Bayesian Lipschitz Constant Estimation and

Source URL: probabilistic-numerics.org

Automatic differentiation: The most criminally underused tool in probabilistic numerics David Duvenaud Do we know the function we’re integrating?

Source URL: probabilistic-numerics.org