University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Long time approximations for stochastic algorithms

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Long time approximations for stochastic algorithms

Add to your list(s) Download to your calendar using vCal

  • UserJonathan Mattingly (Duke University)
  • ClockTuesday 02 July 2024, 10:30-12:00
  • HouseExternal.

If you have a question about this talk, please contact nobody.

DML - Diffusions in machine learning: Foundations, generative models and non-convex optimisation

This talk is part of the Isaac Newton Institute Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Cambridge Genomic Services Seminars Type the title of a new list here Molecules and genes in Alzheimer's

Other talks

Mechanics of Cellular Granules: From Stiff Gas Vesicles to Hollow Condensates Waves, oscillatory double integrals, and multidimensional complex analysis A novel approximate Bayesian inference method for compartmental models in epidemiology using Stan A growth model for fish competing through their ranks Cambridge RNA Club - July session ON ZOOM 2024 Kendrew Lecture: TBC
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity