Fwd: [na-seminar-a] Data Science Seminar on Monday 04/02/2024 @ 2pm

[Tom Rainforth]

Begin forwarded message:

From: Paz Fink Shustin <Paz.Fin...@maths.ox.ac.uk>

Subject: Fwd: [na-seminar-a] Data Science Seminar on Monday 04/02/2024 @ 2pm

Date: 29 February 2024 at 11:05:23 GMT

To: Thomas Rainforth <thomas.r...@stats.ox.ac.uk>

Hi Tom,

For some reason, I couldn't find the email you sent where some people in stats asked about recording Youssef's talk.

In any case, we managed to have the talk also online and recorded, so I am forwarding this to you.

Thanks!
Paz

---

From: "Gen Billionaire" <gen.bil...@maths.ox.ac.uk>
To: ml-and-ds-sem...@maths.ox.ac.uk, na-semina...@maths.ox.ac.uk
Sent: Thursday, 29 February, 2024 11:47:58
Subject: [na-seminar-a] Data Science Seminar on Monday 04/02/2024 @ 2pm

Hilary Term 2024 - Data Science seminar : Monday, 4 March 2024 

 

 

Dear Colleagues,

 

Hope this email finds you well. 

 

Our next speaker this term for the Data Science seminar series is Prof Youssef Marzouk from MIT, USA.  

 

Prof Youssef Marzouk

 

 

Seminar Title:    On transport methods for simulation-based inference and data assimilation

                

Abstract:            Many practical Bayesian inference problems fall into the simulation-based or "likelihood-free" setting, where evaluations of the likelihood function or prior density are unavailable or intractable; instead one can only draw samples from the joint parameter-data prior. Learning conditional distributions is essential to the solution of these problems. 

To this end, I will discuss a powerful class of methods for conditional density estimation and conditional simulation based on transportation of measure. An important application for these methods lies in data assimilation for dynamical systems, where transport enables new approaches to nonlinear filtering and smoothing. 

To illuminate some of the theoretical underpinnings of these methods, I will discuss recent work on monotone map representations, optimization guarantees for learning maps from data, and the statistical convergence of transport-based density estimators.

 

Date:                    Monday, 4 March 2024

 

 

Time:                   14:00-15:00

 

 

Location:            Lecture Room 3 (L3)

 

 

Online:                 On this exceptional occasion we are also going to stream this talk via Teams and it will also be recorded. Obviously we encourage everyone to attend in person as it is much more interactive. However if can’t come to the Maths Institute on Monday please access the seminar via the Teams details below. If you’d like a recording of this talk please email me. 

 

 

Microsoft Teams meeting

Join on your computer, mobile app or room device

Click here to join the meeting

Meeting ID: 942 351 713 142 6 

 

Passcode: mT3KKT 

Download Teams | Join on the web

Learn more | Meeting options

 

 

 

As previously communicated the Data Science group has been renamed to Machine Learning and Data Science group which our website now reflects. Information about the forthcoming seminars can now be found at:  https://www.maths.ox.ac.uk/events/list/4804. 
Previous seminars will be accessible via the Data Science past seminars link; https://www.maths.ox.ac.uk/events/past/3428?page=0

Any questions or thoughts please do not hesitate to get in touch. 

We look forward to seeing you at the seminar on Monday. 

Best wishes, 

 

Gen

Gen Billionaire

Personal Assistant & Research Group Administrator

for Numerical Analysis & Data Science Groups

Office No. S.3.36, Mathematical Institute, University of Oxford

Andrew Wiles Building, Radciffe Observatory Quarter

Woodstock Road, Oxford,  OX2 6GG

Tel. (+44)  01865 611 500