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All publications by Kilian Q. Weinberger
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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


Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James Wilson, Stephen Tyree, Kilian Q. Weinberger and Yixin Chen
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Fast Distributed k-Center Clustering with Outliers on Massive Data
Gustavo Malkomes, Matt J. Kusner, Wenlin Chen, Kilian Q. Weinberger and Benjamin Moseley
Advances in Neural Information Processing Systems 28, 2015


Bayesian Active Model Selection with an Application to Automated Audiometry
Jacob Gardner, Gustavo Malkomes, Roman Garnett, Kilian Q. Weinberger, Dennis Barbour and John P. Cunningham
Advances in Neural Information Processing Systems 28, 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


Marginalized Denoising Auto-encoders for Nonlinear Representations
Minmin Chen, Kilian Q. Weinberger, Fei Sha and Yoshua Bengio
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


Fast Image Tagging
Minmin Chen, Alice Zheng 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


Learning with Marginalized Corrupted Features
Laurens Maaten, Minmin Chen, Stephen Tyree and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Maximum Variance Correction with Application to A* Search
Wenlin Chen, Yixin Chen and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Non-linear Metric Learning
Dor Kedem, Stephen Tyree, Fei Sha, Gert R. Lanckriet and Kilian Q. Weinberger
Advances in Neural Information Processing Systems 25, 2012


The Greedy Miser: Learning under Test-time Budgets
Zhixiang Xu, Olivier Chapelle and Kilian Q. Weinberger
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Marginalized Denoising Autoencoders for Domain Adaptation
Minmin Chen, Zhixiang Xu, Fei Sha and Kilian Q. Weinberger
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Classifier Cascade for Minimizing Feature Evaluation Cost
Minmin Chen, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem and Zhixiang Xu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Co-Training for Domain Adaptation
Minmin Chen, Kilian Q. Weinberger and John Blitzer
Advances in Neural Information Processing Systems 24, 2011


Automatic Feature Decomposition for Single View Co-training
Minmin Chen, Yixin Chen and Kilian Q. Weinberger
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Decoding Ipsilateral Finger Movements from ECoG Signals in Humans
Yuzong Liu, Mohit Sharma, Charles Gaona, Jonathan Breshears, Jarod Roland, Zachary Freudenburg, Eric Leuthardt and Kilian Q. Weinberger
Advances in Neural Information Processing Systems 23, 2010


Large Margin Multi-Task Metric Learning
Shibin Parameswaran and Kilian Q. Weinberger
Advances in Neural Information Processing Systems 23, 2010


Distance Metric Learning for Large Margin Nearest Neighbor Classification
Kilian Q. Weinberger and Lawrence K. Saul
Journal of Machine Learning Research, 2009


Feature hashing for large scale multitask learning
Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Josh Attenberg and Alex J. Smola
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Fast solvers and efficient implementations for distance metric learning
Kilian Q. Weinberger and Lawrence K. Saul
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Large Margin Taxonomy Embedding for Document Categorization
Kilian Q. Weinberger and Olivier Chapelle
Advances in Neural Information Processing Systems 21, 2008


Metric Learning for Kernel Regression
Kilian Q. Weinberger and Gerald Tesauro
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Graph Laplacian Regularization for Large-Scale Semidefinite Programming
Kilian Q. Weinberger, Fei Sha, Qihui Zhu and Lawrence K. Saul
Advances in Neural Information Processing Systems 19, 2006


Distance Metric Learning for Large Margin Nearest Neighbor Classification
Kilian Q. Weinberger, John Blitzer and Lawrence K. Saul
Advances in Neural Information Processing Systems 18, 2005


Learning a kernel matrix for nonlinear dimensionality reduction
Kilian Q. Weinberger, Fei Sha and Lawrence K. Saul
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Hierarchical Distributed Representations for Statistical Language Modeling
John Blitzer, Fernando Pereira, Kilian Q. Weinberger and Lawrence K. Saul
Advances in Neural Information Processing Systems 17, 2004