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Narayanan Sundaram

2 accepted papers

2018

Matrix-normal models for fMRI analysis

AISTATS 2018poster

Multivariate analysis of fMRI data has bene- fited substantially from advances in machine learning. Most recently, a range of prob- abilistic latent variable models applied to fMRI data have been successful in a variety of tasks, including identifying similarity pat- terns in neural data, combining…

2015

Scalable Bayesian Optimization Using Deep Neural Networks

ICML 2015poster

Bayesian optimization is an effective methodology for the global optimization of functions with expensive evaluations. It relies on querying a distribution over functions defined by a relatively cheap surrogate model. An accurate model for this distribution over functions is critical to the effectiv…

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