Sciweavers

COLT
2007
Springer
16 years 12 days ago
Margin Based Active Learning
We present a framework for margin based active learning of linear separators. We instantiate it for a few important cases, some of which have been previously considered in the lite...
Maria-Florina Balcan, Andrei Z. Broder, Tong Zhang
COLT
2007
Springer
16 years 12 days ago
Improved Rates for the Stochastic Continuum-Armed Bandit Problem
Abstract. Considering one-dimensional continuum-armed bandit problems, we propose an improvement of an algorithm of Kleinberg and a new set of conditions which give rise to improve...
Peter Auer, Ronald Ortner, Csaba Szepesvári
COLT
2007
Springer
16 years 12 days ago
Multitask Learning with Expert Advice
Jacob Abernethy, Peter L. Bartlett, Alexander Rakh...
COLT
2007
Springer
16 years 12 days ago
Rademacher Margin Complexity
Liwei Wang, Jufu Feng
127
Voted
COLT
2007
Springer
16 years 12 days ago
Strategies for Prediction Under Imperfect Monitoring
Abstract. We propose simple randomized strategies for sequential prediction under imperfect monitoring, that is, when the forecaster does not have access to the past outcomes but r...
Gábor Lugosi, Shie Mannor, Gilles Stoltz
118
Voted
COLT
2007
Springer
16 years 12 days ago
Learning Nested Halfspaces and Uphill Decision Trees
Adam Tauman Kalai
COLT
2007
Springer
16 years 12 days ago
Stability of k -Means Clustering
Shai Ben-David, Dávid Pál, Hans-Ulri...
COLT
2007
Springer
16 years 12 days ago
Observational Learning in Random Networks
In the standard model of observational learning, n agents sequentially decide between two alternatives a or b, one of which is objectively superior. Their choice is based on a stoc...
Julian Lorenz, Martin Marciniszyn, Angelika Steger
COLT
2007
Springer
16 years 12 days ago
A Lower Bound for Agnostically Learning Disjunctions
We prove that the concept class of disjunctions cannot be pointwise approximated by linear combinations of any small set of arbitrary real-valued functions. That is, suppose there ...
Adam R. Klivans, Alexander A. Sherstov
COLT
2007
Springer
16 years 12 days ago
How Good Is a Kernel When Used as a Similarity Measure?
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
Nathan Srebro