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All publications by Matt Kusner
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From Word Embeddings To Document Distances
Matt Kusner, Yu Sun, Nicholas Kolkin and Kilian Q. Weinberger
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Differentially Private Bayesian Optimization
Matt Kusner, Jacob Gardner, Roman Garnett and Kilian Q. Weinberger
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Stochastic Neighbor Compression
Matt Kusner, Stephen Tyree, Kilian Q. Weinberger and Kunal Agrawal
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Bayesian Optimization with Inequality Constraints
Jacob Gardner, Matt Kusner, Kilian Q. Weinberger, John Cunningham and Zhixiang Xu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Anytime Representation Learning
Zhixiang Xu, Matt Kusner, Gao Huang and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Cost-Sensitive Tree of Classifiers
Zhixiang Xu, Matt Kusner, Minmin Chen and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013