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JMLR
2010
143views more  JMLR 2010»
13 years 8 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
STOC
2007
ACM
137views Algorithms» more  STOC 2007»
14 years 10 months ago
Testing k-wise and almost k-wise independence
In this work, we consider the problems of testing whether a distribution over {0, 1}n is k-wise (resp. ( , k)-wise) independent using samples drawn from that distribution. For the...
Noga Alon, Alexandr Andoni, Tali Kaufman, Kevin Ma...
ICML
2003
IEEE
14 years 11 months ago
Margin Distribution and Learning
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
Ashutosh Garg, Dan Roth
AI
2008
Springer
13 years 10 months ago
Theoretical analysis of singleton arc consistency and its extensions
Singleton arc consistency (SAC) is a consistency property that is simple to specify and is stronger than arc consistency. Algorithms have already been proposed to enforce SAC, but...
Christian Bessiere, Romuald Debruyne
PODS
2000
ACM
146views Database» more  PODS 2000»
14 years 2 months ago
Analysis and Application of Adaptive Sampling
An estimation algorithm for a query is a probabilistic algorithm that computes an approximation for the size (number of tuples) of the query. One class of estimation algorithms us...
James F. Lynch