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DSC/e Lecture Alexander Nikolaev: Mutual Information Matching (MIM)

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Auditorium 14

TU/e

Den Dolech 2

5612 AZ Eindhoven

Netherlands

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DSC/e Lecture Series

Speaker:
Alexander Nikolaev, University at Buffalo

Title:
Mutual Information Matching (MIM) for Fast Observational Causal Inference

Tuesday August 22, from 12:30 tot 13:30
Data Science Center Eindhoven
Location:
Auditorium 14, Den Dolech 2, Eindhoven


Alexander Nikolaev, University at Buffalo

Data mining techniques are good at discovering frequent patterns and predictive models or correlations. Data mining aiming at prescriptive analytics, i.e. causal knowledge discovery, is challenging – causal relationships are typically identified from randomized (control) experiments while data mining typically deals with observational data. The primary approach used over the past thirty years to find the subset of data that closely resembles experimental data has been to individually match treated and untreated (control) units. Dr. Nikolaev from the University at Buffalo, NY will present a novel optimization-based approach to construct such datasets automatically. The technical part of the talk is based on his recent JMLR paper: Link

Abstract Alexander Nikolaev

Bio Alexander Nikolaev


PROGRAM

Date and time: Tuesday, August 22, 12:30 – 13.30
Location: Auditorium 14, Den Dolech 2, 5612 AZ Eindhoven

12:00-12:30 Welcome
12.30-13.30 Lecture by Alexander Nikolaev



The DSC/e is organizing several interesting events. If you are interested in a certain lecture or workshop please send an email to dsce@tue.nl or subscribe for our newsletter here.


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Auditorium 14

TU/e

Den Dolech 2

5612 AZ Eindhoven

Netherlands

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