BibSLEIGH — Arindam

Travelled to:

1 × Canada
1 × China
2 × Australia
2 × United Kingdom
7 × USA

Collaborated with:

J.Ghosh H.Wang I.S.Dhillon P.Das S.Basu R.J.Mooney N.Johnson ∅ J.Langford S.Merugu A.Agovic S.Chatterjee D.Boley M.Kadkhodaie K.Christakopoulou M.Sanjabi A.A.T. M.Tepper G.Sapiro S.P.Kasiviswanathan P.Melville V.Sindhwani S.Sra C.Krumpelman D.S.Modha A.R.Gonçalves S.Chatterjee V.Sivakumar F.J.V.Zuben H.Shan J.Kattge P.B.Reich F.Schrodt M.Reichstein

Talks about:

cluster (5) matrix (3) direct (3) probabilist (2) structur (2) maximum (2) analysi (2) method (2) altern (2) model (2)

Person: Arindam Banerjee

DBLP: Banerjee:Arindam

Contributed to:

2015

2014

2012

2011

2006

2005

2004

2003

2002

Wrote 17 papers:

KDD-2015-JohnsonB #resource management: Structured Hedging for Resource Allocations with Leverage (NJ, AB), pp. 477–486.
KDD-2015-KadkhodaieCSB #multi: Accelerated Alternating Direction Method of Multipliers (MK, KC, MS, AB), pp. 497–506.
CIKM-2014-GoncalvesDCSZB #learning #multi: Multi-task Sparse Structure Learning (ARG, PD, SC, VS, FJVZ, AB), pp. 451–460.
CIKM-2012-TTBS #twitter: If you are happy and you know it... tweet (AAT, MT, AB, GS), pp. 1602–1606.
ICML-2012-ShanKRBSR #matrix #predict #probability #using: Gap Filling in the Plant Kingdom — Trait Prediction Using Hierarchical Probabilistic Matrix Factorization (HS, JK, PBR, AB, FS, MR), p. 47.
ICML-2012-WangB #online: Online Alternating Direction Method (HW, AB), p. 221.
CIKM-2011-KasiviswanathanMBS #detection #learning #taxonomy #topic #using: Emerging topic detection using dictionary learning (SPK, PM, AB, VS), pp. 745–754.
ICML-2011-AgovicBC #matrix #probability: Probabilistic Matrix Addition (AA, AB, SC), pp. 1025–1032.
KDD-2011-DasB #optimisation: Meta optimization and its application to portfolio selection (PD, AB), pp. 1163–1171.
KDD-2011-WangBB #analysis #component #matrix #multi: Common component analysis for multiple covariance matrices (HW, AB, DB), pp. 956–964.
ICML-2006-Banerjee #bound #on the: On Bayesian bounds (AB), pp. 81–88.
KDD-2005-BanerjeeKGBM #clustering #modelling: Model-based overlapping clustering (AB, CK, JG, SB, RJM), pp. 532–537.
ICML-2004-BanerjeeDGM #analysis #estimation #exponential #product line: An information theoretic analysis of maximum likelihood mixture estimation for exponential families (AB, ISD, JG, SM).
KDD-2004-BanerjeeDGMM #approach #approximate #clustering #matrix: A generalized maximum entropy approach to bregman co-clustering and matrix approximation (AB, ISD, JG, SM, DSM), pp. 509–514.
KDD-2004-BanerjeeL #clustering #evaluation: An objective evaluation criterion for clustering (AB, JL), pp. 515–520.
KDD-2003-BanerjeeDGS #clustering #generative #modelling: Generative model-based clustering of directional data (AB, ISD, JG, SS), pp. 19–28.
ICML-2002-BasuBM #clustering: Semi-supervised Clustering by Seeding (SB, AB, RJM), pp. 27–34.