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