Sciweavers

COLT
2007
Springer
14 years 5 months ago
Aggregation by Exponential Weighting and Sharp Oracle Inequalities
In the present paper, we study the problem of aggregation under the squared loss in the model of regression with deterministic design. We obtain sharp oracle inequalities for conve...
Arnak S. Dalalyan, Alexandre B. Tsybakov
COLT
2007
Springer
14 years 5 months ago
Learning Languages with Rational Kernels
Corinna Cortes, Leonid Kontorovich, Mehryar Mohri
COLT
2007
Springer
14 years 5 months ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak
COLT
2007
Springer
14 years 5 months ago
U-Shaped, Iterative, and Iterative-with-Counter Learning
This paper solves an important problem left open in the literature by showing that U-shapes are unnecessary in iterative learning. A U-shape occurs when a learner first learns, t...
John Case, Samuel E. Moelius
COLT
2007
Springer
14 years 5 months ago
Learning Correction Grammars
Lorenzo Carlucci, John Case, Sanjay Jain
COLT
2007
Springer
14 years 5 months 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
14 years 5 months 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
14 years 5 months ago
Multitask Learning with Expert Advice
Jacob Abernethy, Peter L. Bartlett, Alexander Rakh...
COLT
2007
Springer
14 years 5 months ago
Rademacher Margin Complexity
Liwei Wang, Jufu Feng
COLT
2007
Springer
14 years 5 months 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