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ICML
2009
IEEE
16 years 7 months ago
Learning with structured sparsity
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
Junzhou Huang, Tong Zhang, Dimitris N. Metaxas
ICML
2008
IEEE
16 years 7 months ago
Exploration scavenging
We examine the problem of evaluating a policy in the contextual bandit setting using only observations collected during the execution of another policy. We show that policy evalua...
John Langford, Alexander L. Strehl, Jennifer Wortm...
ICML
2006
IEEE
16 years 7 months ago
Fast and space efficient string kernels using suffix arrays
String kernels which compare the set of all common substrings between two given strings have recently been proposed by Vishwanathan & Smola (2004). Surprisingly, these kernels...
Choon Hui Teo, S. V. N. Vishwanathan
ICML
2004
IEEE
16 years 7 months ago
Communication complexity as a lower bound for learning in games
A fast-growing body of research in the AI and machine learning communities addresses learning in games, where there are multiple learners with different interests. This research a...
Vincent Conitzer, Tuomas Sandholm
SIGSOFT
2005
ACM
16 years 7 months ago
Relational analysis of algebraic datatypes
We present a technique that enables the use of finite model finding to check the satisfiability of certain formulas whose intended models are infinite. Such formulas arise when us...
Viktor Kuncak, Daniel Jackson