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All publications by Brian Kulis
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MAD-Bayes: MAP-based Asymptotic Derivations from Bayes
Tamara Broderick, Brian Kulis and Michael Jordan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How and Lawrence Carin
Advances in Neural Information Processing Systems 26, 2013


Small-Variance Asymptotics for Hidden Markov Models
Anirban Roychowdhury, Ke Jiang and Brian Kulis
Advances in Neural Information Processing Systems 26, 2013


Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models
Ke Jiang, Brian Kulis and Michael I. Jordan
Advances in Neural Information Processing Systems 25, 2012


Revisiting k-means: New Algorithms via Bayesian Nonparametrics
Brian Kulis and Michael I. Jordan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Implicit Online Learning
Brian Kulis and Peter L. Bartlett
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Inductive Regularized Learning of Kernel Functions
Prateek Jain, Brian Kulis and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 23, 2010


Low-Rank Kernel Learning with Bregman Matrix Divergences
Brian Kulis, Mátyás A. Sustik and Inderjit S. Dhillon
Journal of Machine Learning Research, 2009


Learning to Hash with Binary Reconstructive Embeddings
Brian Kulis and Trevor Darrell
Advances in Neural Information Processing Systems 22, 2009


Convex Perturbations for Scalable Semidefinite Programming
Brian Kulis, Suvrit Sra and Inderjit S. Dhillon
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon and Kristen Grauman
Advances in Neural Information Processing Systems 21, 2008


Information-theoretic metric learning
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra and Inderjit S. Dhillon
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Fast Low-Rank Semidefinite Programming for Embedding and Clustering
Brian Kulis, Arun C. Surendran and John C. Platt
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Learning low-rank kernel matrices
Brian Kulis, Mátyás A. Sustik and Inderjit S. Dhillon
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Semi-supervised graph clustering: a kernel approach
Brian Kulis, Sugato Basu, Inderjit S. Dhillon and Raymond J. Mooney
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005