Alexander G. Gray

According to our database1, Alexander G. Gray authored at least 82 papers between 1995 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2017
Fraud Detection with Density Estimation Trees.
Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, 2017

2014
A distributed kernel summation framework for general-dimension machine learning.
Statistical Analysis and Data Mining, 2014

2013
MLPACK: a scalable C++ machine learning library.
Journal of Machine Learning Research, 2013

Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data.
Data Min. Knowl. Discov., 2013

Sparse high-dimensional fractional-norm support vector machine via DC programming.
Computational Statistics & Data Analysis, 2013

Local Support Vector Machines: Formulation and Analysis.
CoRR, 2013

Tree-Independent Dual-Tree Algorithms
CoRR, 2013

Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens.
CoRR, 2013

Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Reduced Set KPCA for Improving the Training and Execution Speed of Kernel Machines.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Fast Exact Max-Kernel Search.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Which Space Partitioning Tree to Use for Search?
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Stochastic Alternating Direction Method of Multipliers.
Proceedings of the 30th International Conference on Machine Learning, 2013

Sparsity-Based Generalization Bounds for Predictive Sparse Coding.
Proceedings of the 30th International Conference on Machine Learning, 2013

Tree-Independent Dual-Tree Algorithms.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
UPAL: Unbiased Pool Based Active Learning.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Multibody multipole methods.
J. Comput. Physics, 2012

Stochastic ADMM for Nonsmooth Optimization
CoRR, 2012

MLPACK: A Scalable C++ Machine Learning Library
CoRR, 2012

Fast Exact Max-Kernel Search
CoRR, 2012

Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
CoRR, 2012

Fast Nonparametric Conditional Density Estimation
CoRR, 2012

Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure
CoRR, 2012

Maximum Inner-Product Search using Tree Data-structures
CoRR, 2012

On the Sample Complexity of Predictive Sparse Coding
CoRR, 2012

Faster Gaussian Summation: Theory and Experiment.
CoRR, 2012

Computer detection approaches for the identification of phasic electromyographic (EMG) activity during human sleep.
Biomed. Signal Proc. and Control, 2012

Nearest-Neighbor Search on a Time Budget via Max-Margin Trees.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A Distributed Kernel Summation Framework for General-Dimension Machine Learning.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Optimizing the computation of n-point correlations on large-scale astronomical data.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

A type theory for probability density functions.
Proceedings of the 39th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2012

Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Maximum inner-product search using cone trees.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

NASA: achieving lower regrets and faster rates via adaptive stepsizes.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Fast algorithms for comprehensive n-point correlation estimates.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure.
Proceedings of the 29th International Conference on Machine Learning, 2012

Introduction to astroML: Machine learning for astrophysics.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

2011
CAKE: Convex Adaptive Kernel Density Estimation.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

UPAL: Unbiased Pool Based Active Learning
CoRR, 2011

Multibody Multipole Methods
CoRR, 2011

Data-Distributed Weighted Majority and Online Mirror Descent
CoRR, 2011

Dual-Tree Fast Gauss Transforms
CoRR, 2011

Density estimation trees.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Learning Protein Folding Energy Functions.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Toward interactive statistical modeling.
Proceedings of the International Conference on Computational Science, 2010

Fast kernel conditional density estimation: A dual-tree Monte Carlo approach.
Computational Statistics & Data Analysis, 2010

Generative and Latent Mean Map Kernels
CoRR, 2010

Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs.
Proceedings of the SIAM International Conference on Data Mining, 2010

Automating Mathematical Program Transformations.
Proceedings of the Practical Aspects of Declarative Languages, 2010

Fast euclidean minimum spanning tree: algorithm, analysis, and applications.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Stochastic Mirror Descent Algorithm for L1-Regularized Risk Minimizations.
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

2009
Automatic joint classification and segmentation of whole cell 3D images.
Pattern Recognition, 2009

Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines.
BMC Bioinformatics, 2009

Detecting Spammers with SNARE: Spatio-temporal Network-level Automatic Reputation Engine.
Proceedings of the 18th USENIX Security Symposium, 2009

Non-negative Matrix Factorization, Convexity and Isometry.
Proceedings of the SIAM International Conference on Data Mining, 2009

FuncICA for Time Series Pattern Discovery.
Proceedings of the SIAM International Conference on Data Mining, 2009

Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Linear-time Algorithms for Pairwise Statistical Problems.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Submanifold density estimation.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Learning Isometric Separation Maps
CoRR, 2008

Non-Negative Matrix Factorization, Convexity and Isometry
CoRR, 2008

Can great research be taught?: independent research with cross-disciplinary thinking and broader impact.
Proceedings of the 39th SIGCSE Technical Symposium on Computer Science Education, 2008

Massive-Scale Kernel Discriminant Analysis: Mining for Quasars.
Proceedings of the SIAM International Conference on Data Mining, 2008

Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

QUIC-SVD: Fast SVD Using Cosine Trees.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning dissimilarities by ranking: from SDP to QP.
Proceedings of the Machine Learning, 2008

2007
Fast Mean Shift with Accurate and Stable Convergence.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Fast Nonparametric Conditional Density Estimation.
Proceedings of the UAI 2007, 2007

Ultrafast Monte Carlo for Statistical Summations.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
New Algorithms for Efficient High-Dimensional Nonparametric Classification.
Journal of Machine Learning Research, 2006

Faster Gaussian Summation: Theory and Experiment.
Proceedings of the UAI '06, 2006

On-line anomaly detection of deployed software: a statistical machine learning approach.
Proceedings of the Third International Workshop on Software Quality Assurance, 2006

2005
Dual-Tree Fast Gauss Transforms.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
An Investigation of Practical Approximate Nearest Neighbor Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Nonparametric Density Estimation: Toward Computational Tractability.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Efficient Exact k-NN and Nonparametric Classification in High Dimensions.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Rapid Evaluation of Multiple Density Models.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002
Automatic Derivation of Statistical Algorithms: The EM Family and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2000
'N-Body' Problems in Statistical Learning.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
An Integrated System for Multi-Rover Scientific Exploration.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998
Automated Design of Quantum Circuits.
Proceedings of the Quantum Computing and Quantum Communications, 1998

1995
Retrofitting Decision Tree Classifiers Using Kernel Density Estimation.
Proceedings of the Machine Learning, 1995


  Loading...