BibSLEIGH corpus
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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × China
1 × France
1 × Switzerland
6 × USA
Collaborated with:
S.Arora M.Ester J.Zou W.Jin A.Moitra Q.Huang S.M.Kakade F.Moser R.Frostig S.Kakade A.Sidford A.Bhaskara T.Ma R.Kannan I.Davidson Z.Hu D.Chan O.Gershony T.Hesterberg D.Lambert Y.Halpern D.M.Mimno D.Sontag Y.Wu M.Zhu
Talks about:
algorithm (3) provabl (3) cluster (3) learn (3) guarante (2) matrix (2) factor (2) model (2) data (2) new (2)

Person: Rong Ge


Contributed to:

ICML 20152015
STOC 20152015
ICML c1 20142014
ICML c2 20132013
STOC 20122012
ICALP (1) 20112011
KDD 20102010
KDD 20072007
KDD 20042004

Wrote 11 papers:

ICML-2015-FrostigGKS #algorithm #approximate #empirical #named #performance #probability
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization (RF, RG, SK, AS), pp. 2540–2548.
ICML-2015-GeZ #matrix
Intersecting Faces: Non-negative Matrix Factorization With New Guarantees (RG, JZ), pp. 2295–2303.
STOC-2015-GeHK #learning
Learning Mixtures of Gaussians in High Dimensions (RG, QH, SMK), pp. 761–770.
ICML-c1-2014-AroraBGM #bound #learning
Provable Bounds for Learning Some Deep Representations (SA, AB, RG, TM), pp. 584–592.
ICML-c2-2013-AroraGHMMSWZ #algorithm #modelling #topic
A Practical Algorithm for Topic Modeling with Provable Guarantees (SA, RG, YH, DMM, AM, DS, YW, MZ), pp. 280–288.
STOC-2012-AroraGKM #matrix
Computing a nonnegative matrix factorization — provably (SA, RG, RK, AM), pp. 145–162.
ICALP-v1-2011-AroraG #algorithm #fault #learning
New Algorithms for Learning in Presence of Errors (SA, RG), pp. 403–415.
KDD-2010-ChanGGHL #modelling #online #pipes and filters #scalability
Evaluating online ad campaigns in a pipeline: causal models at scale (DC, RG, OG, TH, DL), pp. 7–16.
KDD-2007-GeEJD #clustering #constraints
Constraint-driven clustering (RG, ME, WJ, ID), pp. 320–329.
KDD-2007-MoserGE #analysis #clustering #specification
Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters (FM, RG, ME), pp. 510–519.
KDD-2004-EsterGJH #data mining #mining #problem #segmentation
A microeconomic data mining problem: customer-oriented catalog segmentation (ME, RG, WJ, ZH), pp. 557–562.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.