joliva@ (original) (raw)

The Statistical Recurrent Unit (code)

Oliva, J., P�czos, B., & Schneider, J.

International Conference on Machine Learning (ICML), 2017.

Nonparametric risk and stability analysis for multi-task learning problems

X Wang, JB Oliva, J Schneider, B P�czos

International Joint Conference on Artificial Intelligence (IJCAI), 2016.

Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations

Kirthevasan Kandasamy, Gautam Dasarathy, Junier B Oliva, Jeff Schneider, Barnab�s P�czos

Advances in Neural Information Processing Systems (NIPS), 2016.

Estimating cosmological parameters from the dark matter distribution

Siamak Ravanbakhsh, Junier Oliva, Sebastien Fromenteau, Layne C Price, Shirley Ho, Jeff Schneider, Barnab�s P�czos

International Conference on Machine Learning (ICML), 2016

Bayesian Nonparametric Kernel-Learning

Junier B Oliva*, Avinava Dubey*, A. Willson, Barnabas Poczos, Jeff Schneider, Eric P Xing

International Conference on AI and Statistics (AISTATS), 2016.

*Indicates equal authorship.

Linear-Time Learning on Distributions with Approximate Kernel Embeddings

DJ Sutherland*, JB Oliva*, B P�czos, J Schneider

AAAI Conference on Artificial Intelligence, 2015.

*Indicates equal authorship.

Fast Function to Function Regression

J Oliva, W Neiswanger, B Poczos, E Xing, J Schneider

International Conference on AI and Statistics (AISTATS), 2015.

FuSSO: Functional Shrinkage and Selection Operator.

Oliva, J., P�czos, B., Verstynen, T., Singh, A., Schneider, J., Yeh, F., Tseng, W.

International Conference on AI and Statistics (AISTATS), 2014.

Fast Distribution to Real Regression.

Oliva, J., Neiswanger, W., P�czos, B., Schneider, J., & Xing, E.

International Conference on AI and Statistics (AISTATS), 2014.

Distribution to Distribution Regression.

Oliva, J., P�czos, B., & Schneider, J.

International Conference on Machine Learning (ICML), 2013.