Hello! I am a PhD student at Gatsby Unit, CSML, University College London, working with Yee Whye Teh. In general, I am interested in Machine Learning and its cool applications.
Efficient Bayesian inference for decision trees and additive trees (e.g. BART)
Probabilistic models for multi-annotator data (e.g. crowdsourcing applications)
Scalable Bayesian inference
Inferring ground truth from multi-annotator ordinal data: a probabilistic approach
Balaji Lakshminarayanan and Yee Whye Teh
[arXiv preprint] [code]
Top-down particle filtering for Bayesian decision trees
Balaji Lakshminarayanan, Daniel M. Roy and Yee Whye Teh
[pdf (main + supplementary)] [ICML, 2013] [code] [slides]
Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach
Forrest Briggs, Balaji Lakshminarayanan, Lawrence Neal, Xiaoli Z. Fern, Raviv Raich, Sarah J. K. Hadley, Adam S. Hadley, and Matthew G. Betts
[link] [JASA, 2012]
Latent IBP compound Dirichlet Allocation
Cedric Archambeau, Balaji Lakshminarayanan, and Guillaume Bouchard
[pdf] [NIPS Bayesian nonparametrics workshop, 2011]
Inference in Supervised Latent Dirichlet Allocation
Balaji Lakshminarayanan and Raviv Raich
[pdf] [MLSP, 2011] [code available upon request]
Robust Bayesian matrix factorization
Balaji Lakshminarayanan, Guillaume Bouchard, and Cedric Archambeau
[revised pdf] [AISTATS, 2011] [code available upon request]
Note: the updates for a_n, c_m were wrong in the original version of the pdf. The increments ought to be ell_n and ell_m respectively instead of 1.
Non-negative matrix factorization for parameter estimation in Hidden Markov models
Balaji Lakshminarayanan and Raviv Raich
[pdf] [MLSP, 2010]
A syllable-level probabilistic framework for bird species identification
Balaji Lakshminarayanan, Raviv Raich and Xiaoli Z. Fern
[pdf] [ICMLA, 2009]
M.S., Oregon State University, Corvallis, USA
Major: School of Electrical Engineering & Computer Science (EECS), Minor: Statistics
I worked
with Prof. Raviv Raich and was part of the
Bioacoustics research group.
M.S. thesis: “Probabilistic models for classification of bioacoustic data” [pdf]
B.Eng, College of Engineering, Guindy, Anna University, Chennai, India
I was part of the Integrated Systems laboratory, where I worked on communication subsystems for the Anna University Microsatellite (ANUSAT) project.
Jan - Sep 2011: Yandex Labs, Palo Alto, USA. I worked
with Dmitry Pavlov and the MLR team.
Summer 2010: Machine Learning
group, Xerox Research Centre Europe, Grenoble, France. I worked with Cedric Archambeau and Guillaume Bouchard.
Summer 2009: Center for Advanced Research, PricewaterhouseCoopers, San Jose, USA.
Teaching assistant for Gatsby Probabilistic and Unsupervised Learning course (2012)