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Travelled to:
1 × Canada
1 × Finland
1 × Germany
1 × Greece
1 × Israel
1 × Slovenia
6 × USA
Collaborated with:
R.A.Servedio P.Auer D.P.Helmbold N.H.Bshouty N.Abe P.Awasthi M.Balcan A.R.Klivans A.Srinivasan P.Krishnan J.S.Vitter N.Littlestone M.K.Warmuth V.Varadan S.Gilman M.Treshock
Talks about:
learn (7) linear (4) nois (3) approxim (2) consist (2) classif (2) random (2) simul (2) use (2) probabilist (1)

Person: Philip M. Long

DBLP DBLP: Long:Philip_M=

Contributed to:

STOC 20142014
ICML c3 20132013
ICML 20112011
ICML 20102010
ICALP (1) 20092009
ICML 20082008
ICML 20052005
ICML 19991999
STOC 19971997
ICML 19951995
STOC 19941994
STOC 19911991

Wrote 13 papers:

STOC-2014-AwasthiBL #learning #linear #locality #power of
The power of localization for efficiently learning linear separators with noise (PA, MFB, PML), pp. 449–458.
ICML-c3-2013-LongS #classification #consistency #multi
Consistency versus Realizable H-Consistency for Multiclass Classification (PML, RAS), pp. 801–809.
ICML-2011-HelmboldL #on the
On the Necessity of Irrelevant Variables (DPH, PML), pp. 281–288.
ICML-2010-BshoutyL #clustering #linear #using
Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering (NHB, PML), pp. 135–142.
ICML-2010-LongS #approximate #simulation #strict
Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate (PML, RAS), pp. 703–710.
ICALP-v1-2009-KlivansLS #learning
Learning Halfspaces with Malicious Noise (ARK, PML, RAS), pp. 609–621.
ICML-2008-LongS #classification #random
Random classification noise defeats all convex potential boosters (PML, RAS), pp. 608–615.
ICML-2005-LongVGTS #integration
Unsupervised evidence integration (PML, VV, SG, MT, RAS), pp. 521–528.
ICML-1999-AbeL #concept #learning #linear #probability #using
Associative Reinforcement Learning using Linear Probabilistic Concepts (NA, PML), pp. 3–11.
STOC-1997-AuerLS #approximate #learning #pseudo #set
Approximating Hyper-Rectangles: Learning and Pseudo-Random Sets (PA, PML, AS), pp. 314–323.
ICML-1995-KrishnanLV #learning
Learning to Make Rent-to-Buy Decisions with Systems Applications (PK, PML, JSV), pp. 233–330.
STOC-1994-AuerL #learning #simulation
Simulating access to hidden information while learning (PA, PML), pp. 263–272.
STOC-1991-LittlestoneLW #learning #linear #online
On-Line Learning of Linear Functions (NL, PML, MKW), pp. 465–475.

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