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Travelled to:
1 × Finland
1 × France
1 × Germany
1 × Israel
1 × Italy
1 × United Kingdom
2 × Australia
2 × China
5 × USA
Collaborated with:
C.M.Cumby R.Samdani K.Chang C.Zhai A.Garg J.Han V.G.V.Vydiswaran C.Lee J.Pasternack W.Yih A.R.Golding X.Wang C.Zhai A.Klementiev K.Small S.Har-Peled R.Greiner A.J.Grove H.Zhuang A.G.Parameswaran Y.Lu H.Wang P.Pirolli M.Chang V.Srikumar D.Goldwasser Pranav Garg 0001 D.Neider P.Madhusudan C.Wang Y.Song A.El-Kishky M.Zhang Y.Li C.Wang F.Han X.Yan
Talks about:
learn (8) model (4) distribut (3) linear (3) unsupervis (2) structur (2) network (2) cluster (2) margin (2) trust (2)

Person: Dan Roth

DBLP DBLP: Roth:Dan

Contributed to:

ICML 20152015
KDD 20152015
ICML c1 20142014
KDD 20132013
CIKM 20122012
ICML 20122012
KDD 20112011
ICML 20102010
CIKM 20092009
ICML 20082008
ICML 20052005
ICML 20032003
ICML 20022002
KR 20002000
ICML 19961996
POPL 20162016

Wrote 22 papers:

ICML-2015-LeeR #distributed #linear #optimisation #polynomial
Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM (CPL, DR), pp. 987–996.
KDD-2015-WangSERZH #clustering #documentation #network
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks (CW, YS, AEK, DR, MZ, JH), pp. 1215–1224.
KDD-2015-ZhuangPRH #crowdsourcing
Debiasing Crowdsourced Batches (HZ, AGP, DR, JH), pp. 1593–1602.
ICML-c1-2014-SamdaniCR #clustering #online
A Discriminative Latent Variable Model for Online Clustering (RS, KWC, DR), pp. 1–9.
KDD-2013-LiWHHRY #ambiguity #mining
Mining evidences for named entity disambiguation (YL, CW, FH, JH, DR, XY), pp. 1070–1078.
KDD-2013-WangZR #comprehension #evolution #generative #probability #research
Understanding evolution of research themes: a probabilistic generative model for citations (XW, CZ, DR), pp. 1115–1123.
CIKM-2012-LuWZR #network
Unsupervised discovery of opposing opinion networks from forum discussions (YL, HW, CZ, DR), pp. 1642–1646.
CIKM-2012-VydiswaranZRP #education #named #topic
BiasTrust: teaching biased users about controversial topics (VGVV, CZ, DR, PP), pp. 1905–1909.
ICML-2012-SamdaniR #learning #performance #predict
Efficient Decomposed Learning for Structured Prediction (RS, DR), p. 200.
KDD-2011-ChangR #convergence #linear #memory management #modelling #performance #scalability
Selective block minimization for faster convergence of limited memory large-scale linear models (KWC, DR), pp. 699–707.
KDD-2011-VydiswaranZR #framework #trust
Content-driven trust propagation framework (VGVV, CZ, DR), pp. 974–982.
ICML-2010-ChangSGR #learning
Structured Output Learning with Indirect Supervision (MWC, VS, DG, DR), pp. 199–206.
CIKM-2009-PasternackR #learning
Learning better transliterations (JP, DR), pp. 177–186.
ICML-2008-KlementievRS #modelling #rank
Unsupervised rank aggregation with distance-based models (AK, DR, KS), pp. 472–479.
ICML-2005-RothY #integer #linear #programming #random
Integer linear programming inference for conditional random fields (DR, WtY), pp. 736–743.
ICML-2003-CumbyR #kernel #learning #on the #relational
On Kernel Methods for Relational Learning (CMC, DR), pp. 107–114.
ICML-2003-GargR #learning
Margin Distribution and Learning (AG, DR), pp. 210–217.
ICML-2002-GargHR #bound #on the
On generalization bounds, projection profile, and margin distribution (AG, SHP, DR), pp. 171–178.
KR-2000-CumbyR #learning #relational
Relational Representations that Facilitate Learning (CMC, DR), pp. 425–434.
ICML-1996-GoldingR
Applying Winnow to Context-Sensitive Spelling Correction (ARG, DR), pp. 182–190.
ICML-1996-GreinerGR #classification #learning
Learning Active Classifiers (RG, AJG, DR), pp. 207–215.
POPL-2016-0001NMR #invariant #learning #using
Learning invariants using decision trees and implication counterexamples (PG0, DN, PM, DR), pp. 499–512.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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