algorithms

Estimation Problems for Partial and Fractional Differential Equations - Autumn 2019

Nov 21, 12:00 - 13:00

B9 L2 H1 R2322

Fractional differential equations Partial Differential Equations Estimation problems Simulations algorithms real applications

I will present an overview of our activities around estimation problems for partial and fractional differential equations. I will present the methods and the algorithms we develop for the state, source and parameters estimation and illustrate the results with some simulations and real applications.

Machine learning models gather momentum

1 min read · Sun, Nov 24 2019

algorithms machine learning Computer science

New methods for training machine learning models are quicker and more accurate than current approaches, previously considered state-of-the-art.

Peter Richtarik

Professor, Computer Science

optimization machine learning big data algorithms

Professor Richtárik specializes in big data optimization and machine learning. He is known for his work on randomized coordinate descent algorithms, stochastic gradient descent and federated learning.