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All publications by Barnabas Poczos
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High Dimensional Bayesian Optimisation and Bandits via Additive Models
Kirthevasan Kandasamy, Jeff Schneider and Barnabas Poczos
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations
Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabas Poczos, Larry Wasserman and James M. Robins
Advances in Neural Information Processing Systems 28, 2015


On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabas Poczos and Alex J. Smola
Advances in Neural Information Processing Systems 28, 2015


Nonparametric Estimation of Renyi Divergence and Friends
Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabas Poczos and Larry Wasserman
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Generalized Exponential Concentration Inequality for Renyi Divergence Estimation
Shashank Singh and Barnabas Poczos
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Exponential Concentration of a Density Functional Estimator
Shashank Singh and Barnabas Poczos
Advances in Neural Information Processing Systems 27, 2014


Distribution to Distribution Regression
Junier Oliva, Barnabas Poczos and Jeff Schneider
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scale Invariant Conditional Dependence Measures
Sashank J. Reddi and Barnabas Poczos
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013