I'm a PhD candidate in Computer Sciences at The
University of Texas at Austin. My advisor is Ray Mooney. I'm currently
supported by the
Google PhD Fellowship in Natural Language Processing. I spent
a wonderful 2 years as co-mastermind of FAI.
I'm currently in the Bay area. Let's collaborate on something!
I'm interested primarily in models of latent combinatorial
structure in unlabeled data; particularly inferring semantic
information automatically. My previous home was in theoretical evolutionary biology where I studied evolvability under randomized search schemes (here is a recent review).
My thesis is on
Cross-cutting models of
Current projects are: subspace
clustering, parselets, and
I'm fascinated by inefficient markets;
Lightweight python wrapper for vowpal_wabbit.
Lightweight python implementation of a distributed, collapsed gibbs sampler for LDA. Uses redis to coordinate multiple nodes
Latent Variable Modeling Toolkit -- Collection of
Gibbs samplers for Multinomial-Dirichlet latent variable models including DPMM, LDA, hLDA,
tiered clustering, and cross-cutting categorization.
Admixture Model -- MATLAB code for a spherically embedded
(L2-normalized) topic model; developed by Austin Waters.
Cross-Cutting Models of Lexical Semantics, with Ray Mooney
Fine-Grained Class Label Markup of Search Queries, with Marius
A Mixture Model with Sharing for
Lexical Semantics, with Ray
Multi-Prototype Vector-Space Models
of Word Meaning, with Ray
Variable Models of Concept-Attribute
Attachment, with Marius
Extraction of Class Attributes, with Marius
Acquisition of Labeled Class Instances using Graph Random
Partha Pratim Talukdar,
Joseph Reisinger, Marius
Bhagat and Fernando
Machine Learning /
Pricing Externalities in Real-Time Bidding
Spherical Topic Models, with
Silverthorn and Ray
Kernel Selection for Bayesian Reinforcement
Learning, with Peter Stone and Risto Miikkulainen. ICML-2008.
Evolvability through Adaptive Representations, with
Risto Miikkulainen. GECCO-2007.Best Paper Award