Travelled to:
1 × China
1 × Finland
1 × Spain
1 × United Kingdom
6 × USA
Collaborated with:
H.Ouyang P.Ram W.B.March N.A.Mehta S.Bhat A.Agarwal A.J.Connolly P.Smyth U.M.Fayyad N.He L.Tran R.W.Vuduc I.E.Grossmann R.R.Curtin D.V.Anderson C.L.Isbell
Talks about:
tree (6) algorithm (3) densiti (3) estim (3) stochast (2) fast (2) use (2) dissimilar (1) comprehens (1) transform (1)
Person: Alexander G. Gray
DBLP: Gray:Alexander_G=
Contributed to:
Wrote 13 papers:
- ICML-c1-2013-MehtaG #bound #predict
- Sparsity-Based Generalization Bounds for Predictive Sparse Coding (NAM, AGG), pp. 36–44.
- ICML-c1-2013-OuyangHTG #multi #probability
- Stochastic Alternating Direction Method of Multipliers (HO, NH, LT, AGG), pp. 80–88.
- ICML-c3-2013-CurtinMRAGI #algorithm #independence
- Tree-Independent Dual-Tree Algorithms (RRC, WBM, PR, DVA, AGG, CLI), pp. 1435–1443.
- ICML-2012-OuyangG #probability
- Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure (HO, AGG), p. 198.
- KDD-2012-MarchCG #algorithm #correlation #performance
- Fast algorithms for comprehensive n-point correlation estimates (WBM, AJC, AGG), pp. 1478–1486.
- KDD-2012-OuyangG #adaptation #named #performance
- NASA: achieving lower regrets and faster rates via adaptive stepsizes (HO, AGG), pp. 159–167.
- KDD-2012-RamG #using
- Maximum inner-product search using cone trees (PR, AGG), pp. 931–939.
- POPL-2012-BhatAVG #probability #type system
- A type theory for probability density functions (SB, AA, RWV, AGG), pp. 545–556.
- KDD-2011-RamG #estimation
- Density estimation trees (PR, AGG), pp. 627–635.
- KDD-2010-MarchRG #algorithm #analysis #performance
- Fast euclidean minimum spanning tree: algorithm, analysis, and applications (WBM, PR, AGG), pp. 603–612.
- PADL-2010-AgarwalBGG #automation #program transformation
- Automating Mathematical Program Transformations (AA, SB, AGG, IEG), pp. 134–148.
- ICML-2008-OuyangG #learning #ranking
- Learning dissimilarities by ranking: from SDP to QP (HO, AGG), pp. 728–735.
- ICML-1995-SmythGF #classification #estimation #kernel #using
- Retrofitting Decision Tree Classifiers Using Kernel Density Estimation (PS, AGG, UMF), pp. 506–514.