Fwd: [ml-and-ds-seminars-announce] Machine Learning and Data Science Seminar on Monday 29/04/2024 @ 2pm

[Tom Rainforth]

Begin forwarded message:

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

Subject: Fwd: [ml-and-ds-seminars-announce] Machine Learning and Data Science Seminar on Monday 29/04/2024 @ 2pm

Date: 26 April 2024 at 09:03:00 BST

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

Hello Thomas,

FYI, please see the following seminar on Monday, in case it may be of interest to someone in the stats department.

Paz

---

From: "Gen Billionaire" <gen.bil...@maths.ox.ac.uk>
To: na-semina...@maths.ox.ac.uk, ml-and-ds-sem...@maths.ox.ac.uk
Sent: Thursday, 25 April, 2024 17:07:12
Subject: [ml-and-ds-seminars-announce] Machine Learning and Data Science Seminar on Monday 29/04/2024 @ 2pm

Trinity Term 2024 – Machine Learning and Data Science Seminar : Monday, 29 April 2024 

 

Dear Colleagues,

 

Hope this email finds you all well.

 

Our next speaker for the MLandDS seminar series is Aretha Teckentrup from the University of Edinburgh. 

 

 

Aretha Teckentrup

 

Seminar Title:                 Deep Gaussian processes: theory and applications   

 

Abstract:                           Deep Gaussian processes have proved remarkably successful as a tool for various statistical inference tasks. This success relates in part to the flexibility of these processes and their ability to capture complex, non-stationary behaviours. 

 

In this talk, we will introduce the general framework of deep Gaussian processes, in which many examples can be constructed, and demonstrate their superiority in inverse problems including computational imaging and regression.

 

                                               We will discuss recent algorithmic developments for efficient sampling, as well as recent theoretical results which give crucial insight into the behaviour of the methodology.   

 

 

Date:                                   Monday,  29 April 2024

 

 

Time:                                  11am – 12pm – please note the time is different 

 

 

Location:                            Lecture Room 3 (L3)

 

 

You can also find this information on our website; https://www.maths.ox.ac.uk/events/list/4804

 

We look forward to seeing you at the seminar. 

 

 

Best wishes, 

 

Gen

Gen Billionaire

Research Group Assistant & PA

for Numerical Analysis & Data Science Groups

I usually work Tuesdays -> Thursdays & you can find me in Office S2.26

Mathematical Institute  University of Oxford

Andrew Wiles Building, Radcliffe Observatory Quarter

Woodstock Road, Oxford,  OX2 6GG

Tel. (+44)  01865 611 516