**specifically for Compass students**on

**Representation Learning.**

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# Tag: lectures

## DeepMind UK scientist to tutor Compass students

## Member of French Academy of Sciences presents mini-series of lectures

## Tokyo research scientist gives series of data science lectures

Taylan Cemgil, Research Scientist, DeepMind UK will speak at the Jean Golding Institute Data Seminar Series and an exclusive talk **specifically for Compass students** on** Representation Learning. **

*Eric Moulines from Ecole Polytechnique is visiting University of Bristol and the School of Mathematics in January 2020. He will present a mini-series of lectures. *

**Convex optimization for machine learning**

The purpose of this course is to give an introduction to convex optimization and its applications in statistical learning.

In the first part of the course, I will recall the importance of convex optimisation in statistical learning. I will briefly introduce some useful results of convex analysis. I will then analyse gradient descent algorithms for strongly convex and then convex smooth functions. I will take this opportunity to establish some results on complexity lower bounds for such problems. I will show that the gradient descent algorithm is suboptimal and does not reach the optimal possible speed of convergence. I will the present a strategy to accelerate gradient descent algorithms in order to obtain optimal speeds.

In the second part of the course, I will focus on non smooth optimisation problems. I we will introduce the proximal operator of which I will establish some essential properties. I will then study the proximal gradient algorithms and their accelerated versions.

In a third part, I will look at stochastic versions of these algorithms.

The lectures will take place at the following times:

Tuesday 28th January 11:00- 12:00

Thursday 30th January 13:00- 14:00

Friday 31st January 10:00- 11:00

*Pierre Alquier (Research Scientist Riken AIP project, Tokyo) will visit the University of Bristol School of Mathematics from November 25 to December 6 2019.*

As a visitor to the Heilbronn Institute he gave a series of data science lectures to Compass students on 27 November 2019

**Introduction to the variational approach and examples: Mixture models, matrix completions and recommendations, deep learning****Theoretical analysis of variational methods**

He will also present additional lectures during his visit on areas such as:

**A Generalization Bound for Online Variational Inference**

Mathieu Gerber, Compass Training Co-ordinator commented: *“In his lectures Pierre has provided and proved one of the first general result about the validity of variational methods, which are popular tools to approximate high-dimensional posterior distributions”*