Tata Institute of Fundamental Research

Stochastic Blockmodels of Mixed Membership for Relational Data

Student Seminar
Speaker: Swapnil Singone
Organiser: Mohit Garg
Date: Friday, 22 Nov 2013, 16:00 to 17:30
Venue: D-405 (D-Block Seminar Room)

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Abstract:  Abstract: In this talk I will introduce a class of latent variable models for relational data. Consider the relational data of pairwise measurements, such as presence or absence of links between a pair of objects. These type of data arises in various environments, for example, Web connects pages by links, collection of author-recipient Emails, scientific literature connects papers by citations, and Social Networks. ¬†These models provide exploratory tools for scientific analysis in applications where the observations can be represented as a collection of unipartite graphs. We will also look at a general variational inference algorithm for approximating the intractable posterior distribution.