Alexander G. Gray

College of Computing, Georgia Institute of Technology

	2012
46		Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Alexander G. Gray: A type theory for probability density functions. POPL 2012: 545-556
45		Nishant A. Mehta, Alexander G. Gray: On the Sample Complexity of Predictive Sparse Coding CoRR abs/1202.4050: (2012)
44		Parikshit Ram, Alexander G. Gray: Maximum Inner-Product Search using Tree Data-structures CoRR abs/1202.6101: (2012)
	2011
43		Wei Guan, Arkadas Ozakin, Alexander G. Gray, Jose Borreguero, Shashi Bhushan Pandit, Anna Jagielska, Liliana Wroblewska, Jeffrey Skolnick: Learning Protein Folding Energy Functions. ICDM 2011: 1062-1067
42		Parikshit Ram, Alexander G. Gray: Density estimation trees. KDD 2011: 627-635
41		Dongryeol Lee, Alexander G. Gray, Andrew W. Moore: Dual-Tree Fast Gauss Transforms CoRR abs/1102.2878: (2011)
40		Hua Ouyang, Alexander G. Gray: Data-Distributed Weighted Majority and Online Mirror Descent CoRR abs/1105.2274: (2011)
39		Dongryeol Lee, Arkadas Ozakin, Alexander G. Gray: Multibody Multipole Methods CoRR abs/1105.2769: (2011)
38		Ravi Sastry Ganti Mahapatruni, Alexander G. Gray: CAKE: Convex Adaptive Kernel Density Estimation. Journal of Machine Learning Research - Proceedings Track 15: 498-506 (2011)
	2010
37		Hua Ouyang, Alexander G. Gray: Stochastic Mirror Descent Algorithm for L1-Regularized Risk Minimizations. CIT 2010: 1241-1245
36		William B. March, Parikshit Ram, Alexander G. Gray: Fast euclidean minimum spanning tree: algorithm, analysis, and applications. KDD 2010: 603-612
35		Ashish Agarwal, Sooraj Bhat, Alexander G. Gray, Ignacio E. Grossmann: Automating Mathematical Program Transformations. PADL 2010: 134-148
34		Hua Ouyang, Alexander G. Gray: Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs. SDM 2010: 245-256
33		Nishant A. Mehta, Alexander G. Gray: Generative and Latent Mean Map Kernels CoRR abs/1005.0188: (2010)
32		Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.: Fast kernel conditional density estimation: A dual-tree Monte Carlo approach. Computational Statistics & Data Analysis 54(7): 1707-1718 (2010)
31		Sooraj Bhat, Ashish Agarwal, Alexander G. Gray, Richard W. Vuduc: Toward interactive statistical modeling. Procedia CS 1(1): 1835-1844 (2010)
	2009
30		Arkadas Ozakin, Alexander G. Gray: Submanifold density estimation. NIPS 2009: 1375-1382
29		Parikshit Ram, Dongryeol Lee, William B. March, Alexander G. Gray: Linear-time Algorithms for Pairwise Statistical Problems. NIPS 2009: 1527-1535
28		Parikshit Ram, Dongryeol Lee, Hua Ouyang, Alexander G. Gray: Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions. NIPS 2009: 1536-1544
27		Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson: Non-negative Matrix Factorization, Convexity and Isometry. SDM 2009: 673-684
26		Nishant A. Mehta, Alexander G. Gray: FuncICA for Time Series Pattern Discovery. SDM 2009: 73-84
25		Shuang Hao, Nadeem Ahmed Syed, Nick Feamster, Alexander G. Gray, Sven Krasser: Detecting Spammers with SNARE: Spatio-temporal Network-level Automatic Reputation Engine. USENIX Security Symposium 2009: 101-118
24		Wei Guan, Manshui Zhou, Christina Y. Hampton, Benedict B. Benigno, L. DeEtte Walker, Alexander G. Gray, John F. McDonald, Facundo M. Fernández: Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines. BMC Bioinformatics 10: 259 (2009)
23		Rajesh Narasimha, Hua Ouyang, Alexander G. Gray, Steven W. McLaughlin, Sriram Subramaniam: Automatic joint classification and segmentation of whole cell 3D images. Pattern Recognition 42(6): 1067-1079 (2009)
	2008
22		Hua Ouyang, Alexander G. Gray: Learning dissimilarities by ranking: from SDP to QP. ICML 2008: 728-735
21		Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.: QUIC-SVD: Fast SVD Using Cosine Trees. NIPS 2008: 673-680
20		Dongryeol Lee, Alexander G. Gray: Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method. NIPS 2008: 929-936
19		Ryan Riegel, Alexander G. Gray, Gordon Richards: Massive-Scale Kernel Discriminant Analysis: Mining for Quasars. SDM 2008: 208-218
18		Nick Feamster, Alexander G. Gray: Can great research be taught?: independent research with cross-disciplinary thinking and broader impact. SIGCSE 2008: 471-475
17		Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson: Non-Negative Matrix Factorization, Convexity and Isometry CoRR abs/0810.2311: (2008)
16		Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson: Learning Isometric Separation Maps CoRR abs/0810.4611: (2008)
	2007
15		Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.: Ultrafast Monte Carlo for Statistical Summations. NIPS 2007
14		Michael P. Holmes, Alexander G. Gray, Charles L. Isbell: Fast Nonparametric Conditional Density Estimation. UAI 2007: 175-182
13		Ping Wang, Dongryeol Lee, Alexander G. Gray, James M. Rehg: Fast Mean Shift with Accurate and Stable Convergence. Journal of Machine Learning Research - Proceedings Track 2: 604-611 (2007)
	2006
12		George K. Baah, Alexander G. Gray, Mary Jean Harrold: On-line anomaly detection of deployed software: a statistical machine learning approach. SOQUA 2006: 70-77
11		Dongryeol Lee, Alexander G. Gray: Faster Gaussian Summation: Theory and Experiment. UAI 2006
10		Ting Liu, Andrew W. Moore, Alexander G. Gray: New Algorithms for Efficient High-Dimensional Nonparametric Classification. Journal of Machine Learning Research 7: 1135-1158 (2006)
	2005
9		Dongryeol Lee, Alexander G. Gray, Andrew W. Moore: Dual-Tree Fast Gauss Transforms. NIPS 2005
	2004
8		Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Yang: An Investigation of Practical Approximate Nearest Neighbor Algorithms. NIPS 2004
	2003
7		Ting Liu, Andrew W. Moore, Alexander G. Gray: Efficient Exact k-NN and Nonparametric Classification in High Dimensions. NIPS 2003
6		Alexander G. Gray, Andrew W. Moore: Nonparametric Density Estimation: Toward Computational Tractability. SDM 2003
	2002
5		Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray L. Buntine: Automatic Derivation of Statistical Algorithms: The EM Family and Beyond. NIPS 2002: 673-680
	2000
4		Alexander G. Gray, Andrew W. Moore: `N-Body' Problems in Statistical Learning. NIPS 2000: 521-527
	1999
3		Tara A. Estlin, Alexander G. Gray, Tobias Mann, Gregg Rabideau, Rebecca Castaño, Steve A. Chien, Eric Mjolsness: An Integrated System for Multi-Rover Scientific Exploration. AAAI/IAAI 1999: 613-620
	1998
2		Colin P. Williams, Alexander G. Gray: Automated Design of Quantum Circuits. QCQC 1998: 113-125
	1995
1		Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad: Retrofitting Decision Tree Classifiers Using Kernel Density Estimation. ICML 1995: 506-514

Coauthor Index

1	Ashish Agarwal	[31] [35] [46]
2	David V. Anderson	[16] [17] [27]
3	George K. Baah	[12]
4	Benedict B. Benigno	[24]
5	Sooraj Bhat	[31] [35] [46]
6	Jose Borreguero	[43]
7	Wray L. Buntine (Wray Lindsay Buntine)	[5]
8	Rebecca Castaño	[3]
9	Steve A. Chien	[3]
10	Tara A. Estlin	[3]
11	Usama M. Fayyad	[1]
12	Nick Feamster	[18] [25]
13	Facundo M. Fernández	[24]
14	Bernd Fischer	[5]
15	Ignacio E. Grossmann	[35]
16	Wei Guan	[24] [43]
17	Christina Y. Hampton	[24]
18	Shuang Hao	[25]
19	Mary Jean Harrold	[12]
20	Michael P. Holmes	[14] [15] [21] [32]
21	Charles Lee Isbell Jr. (Charles L. Isbell)	[14] [15] [21] [32]
22	Anna Jagielska	[43]
23	Sven Krasser	[25]
24	Dongryeol Lee	[9] [11] [13] [20] [28] [29] [39] [41]
25	Ting Liu	[7] [8] [10]
26	Ravi Sastry Ganti Mahapatruni	[38]
27	Tobias Mann	[3]
28	William B. March	[29] [36]
29	John F. McDonald	[24]
30	Steven W. McLaughlin	[23]
31	Nishant A. Mehta	[26] [33] [45]
32	Eric Mjolsness	[3]
33	Andrew W. Moore	[4] [6] [7] [8] [9] [10] [41]
34	Rajesh Narasimha	[23]
35	Hua Ouyang	[22] [23] [28] [34] [37] [40]
36	Arkadas Ozakin	[30] [39] [43]
37	Shashi Bhushan Pandit	[43]
38	Gregg Rabideau	[3]
39	Parikshit Ram	[28] [29] [36] [42] [44]
40	James M. Rehg	[13]
41	Gordon Richards	[19]
42	Ryan Riegel	[19]
43	Johann Schumann	[5]
44	Jeffrey Skolnick	[43]
45	Padhraic Smyth	[1]
46	Sriram Subramaniam	[23]
47	Nadeem Ahmed Syed	[25]
48	Nikolaos Vasiloglou	[16] [17] [27]
49	Richard W. Vuduc (Rich Vuduc)	[31] [46]
50	L. DeEtte Walker	[24]
51	Ping Wang	[13]
52	Colin P. Williams	[2]
53	Liliana Wroblewska	[43]
54	Ke Yang	[8]
55	Manshui Zhou	[24]

Colors in the list of coauthors

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