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All publications by Alexander G. Gray
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Stochastic Alternating Direction Method of Multipliers
Hua Ouyang, Niao He, Long Tran and Alexander G. Gray
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparsity-Based Generalization Bounds for Predictive Sparse Coding
Nishant Mehta and Alexander G. Gray
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
Nishant Mehta, Dongryeol Lee and Alexander G. Gray
Advances in Neural Information Processing Systems 25, 2012


Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure
Hua Ouyang and Alexander G. Gray
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


UPAL: Unbiased Pool Based Active Learning
Ravi Ganti and Alexander G. Gray
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


CAKE: Convex Adaptive Kernel Density Estimation
Ravi Mahapatruni and Alexander G. Gray
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Submanifold density estimation
Arkadas Ozakin and Alexander G. Gray
Advances in Neural Information Processing Systems 22, 2009


Linear-time Algorithms for Pairwise Statistical Problems
Parikshit Ram, Dongryeol Lee, William March and Alexander G. Gray
Advances in Neural Information Processing Systems 22, 2009


Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions
Parikshit Ram, Dongryeol Lee, Hua Ouyang and Alexander G. Gray
Advances in Neural Information Processing Systems 22, 2009


Learning dissimilarities by ranking: from SDP to QP
Hua Ouyang and Alexander G. Gray
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


QUIC-SVD: Fast SVD Using Cosine Trees
Michael P. Holmes, Jr. Isbell, Charles Lee and Alexander G. Gray
Advances in Neural Information Processing Systems 21, 2008


Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method
Dongryeol Lee and Alexander G. Gray
Advances in Neural Information Processing Systems 21, 2008


Ultrafast Monte Carlo for Statistical Summations
Charles L. Isbell, Michael P. Holmes and Alexander G. Gray
Advances in Neural Information Processing Systems 20, 2007


Fast Mean Shift with Accurate and Stable Convergence
Ping Wang, Dongryeol Lee, Alexander G. Gray and James M. Rehg
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


New Algorithms for Efficient High-Dimensional Nonparametric Classification
Ting Liu, Andrew W. Moore and Alexander G. Gray
Journal of Machine Learning Research, 2006


Dual-Tree Fast Gauss Transforms
Dongryeol Lee, Andrew W. Moore and Alexander G. Gray
Advances in Neural Information Processing Systems 18, 2005


An Investigation of Practical Approximate Nearest Neighbor Algorithms
Ting Liu, Andrew W. Moore, Ke Yang and Alexander G. Gray
Advances in Neural Information Processing Systems 17, 2004


Efficient Exact k-NN and Nonparametric Classification in High Dimensions
Ting Liu, Andrew W. Moore and Alexander G. Gray
Advances in Neural Information Processing Systems 16, 2003


Automatic Derivation of Statistical Algorithms: The EM Family and Beyond
Bernd Fischer, Johann Schumann, Wray Buntine and Alexander G. Gray
Advances in Neural Information Processing Systems 15, 2002