Further talks

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Date / Time

Speaker

Title

Location

20 January 2014
10:15-10:55

Kevin Zemmer
Institute for Operations Research at ETH Zurich, CH

Details

Title	Sum of Squares Polynomials in Optimization
Speaker, Affiliation	Kevin Zemmer, Institute for Operations Research at ETH Zurich, CH
Date, Time	20 January 2014, 10:15-10:55
Location	HG G 19.2

Sum of Squares Polynomials in Optimization

20 January 2014
10:55-11:35

Andrea Baggio
Institute for Operations Research at ETH Zurich, CH

Details

Title	A Unified Continuous Greedy Algorithm for Submodular Maximization
Speaker, Affiliation	Andrea Baggio, Institute for Operations Research at ETH Zurich, CH
Date, Time	20 January 2014, 10:55-11:35
Location	HG G 19.2

A Unified Continuous Greedy Algorithm for Submodular Maximization

20 January 2014
11:35-12:15

Jörg Bader
Institute for Operations Research at ETH Zurich, CH

Details

Title	The Johnson-Lindenstrauss Lemma: Theory and Applications
Speaker, Affiliation	Jörg Bader, Institute for Operations Research at ETH Zurich, CH
Date, Time	20 January 2014, 11:35-12:15
Location	HG G 19.2

The Johnson-Lindenstrauss Lemma: Theory and Applications

23 January 2014
14:45-15:15

Stephen Chestnut
Johns Hopkins University, Baltimore, USA

Details

Title	Sampling Binary Contingency Tables
Speaker, Affiliation	Stephen Chestnut, Johns Hopkins University, Baltimore, USA
Date, Time	23 January 2014, 14:45-15:15
Location	HG G 19.2
Abstract	Given two sequences of integers r = r1, r2,..,rm and c = c1,c2,..,cn how many m x n binary matrices have row sums r and column sums c? How can we sample from the set of all such matrices efficiently? In this talk I will review two existing exact sampling algorithms, discovered 30 years apart, and describe a new algorithm that uses elements of both. The algorithm is targeted at instances describing sparse tables with highly irregular row and column sums.

Sampling Binary Contingency Tablesread_more

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