Skip to main content Skip to navigation

Department Events

The department runs a variety of seminars, workshops and colloquia. See upcoming events below. You are also welcome to sign up to the seminar mailing list.

For visiting the department, see the map of campus, directions, and accommodation recommendations.
(Be reminded that the University of Warwick is not, surprisingly, located in the town of Warwick.)

 

Show all calendar items

CS Colloquium: Zoltan Szabó (LSE)

- Export as iCalendar
Location: CS1.01

Title: Generalized Mean and Variance for Sample-Efficient Data Science

Abstract: In modern data science applications, one works with a large variety of data types (including time series, graphs, rankings, or sets, beyond the classical choice of vectors) and often has to measure and test the dependence of random quantities over these domains. It is becoming more and more critical to accomplish this goal in a sample and computationally efficient fashion. In this talk, I am going to present a new dependency measure implementing this programme based on an extension of mean and variance, and demonstrate its power in the context of environmental and traffic data analysis.

Bio: Zoltan Szabo is a Professor of Data Science at the Department of Statistics, London School of Economics. Zoltan's research interest is statistical machine learning with focus on kernel methods, information theoretical estimators, scalable computation, and their applications. Zoltan enjoys helping and interacting with the machine learning (ML) and statistics community in various forms. He serves/served as (i) an Area Chair of ICML, NeurIPS, COLT, AISTATS, UAI, IJCAI, ICLR, (ii) the moderator of statistical machine learning (stat.ML) on arXiv, (iii) a Turing Academic Liaison, (iv) a Management Committee Member of the Data Science Institute, (v) the Programme Director of MSc Data Science, (vi) the Program Chair of the Data Science Summer School, (vii) an editorial board member of JMLR, a senior associate editor of the journal ACM Transactions on Probabilistic Machine Learning, and an associate editor of the journal Mathematical Foundations of Computing, (viii) a reviewer of various journals in machine learning and statistics, (ix) a reviewer of European (ERC), Israeli (ISF) and Swiss (SNSF) grant applications, (x) a mentor of newcomers (NeurIPS, ICML).

Show all calendar items