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All publications by Jeff Schneider
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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


Finding Galaxies in the Shadows of Quasars with Gaussian Processes
Roman Garnett, Shirley Ho and Jeff Schneider
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Active Transfer Learning under Model Shift
Xuezhi Wang, Tzu-kuo Huang and Jeff Schneider
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Flexible Transfer Learning under Support and Model Shift
Xuezhi Wang and Jeff Schneider
Advances in Neural Information Processing Systems 27, 2014


Expensive Function Optimization with Stochastic Binary Outcomes
Matthew Tesch, Jeff Schneider and Howie Choset
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


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


Spectral Learning of Hidden Markov Models from Dynamic and Static Data
Tzu-kuo Huang and Jeff Schneider
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition
Tzu-kuo Huang and Jeff Schneider
Advances in Neural Information Processing Systems 26, 2013


\Sigma -Optimality for Active Learning on Gaussian Random Fields
Yifei Ma, Roman Garnett and Jeff Schneider
Advances in Neural Information Processing Systems 26, 2013


A Composite Likelihood View for Multi-Label Classification
Yi Zhang and Jeff Schneider
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012