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COLT
2010
Springer
13 years 9 months ago
The Online Loop-free Stochastic Shortest-Path Problem
Gergely Neu, András György, Csaba Szep...
COLT
2010
Springer
13 years 9 months ago
Efficient Classification for Metric Data
Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as ...
Lee-Ad Gottlieb, Leonid Kontorovich, Robert Krauth...
COLT
2010
Springer
13 years 9 months ago
Robust Selective Sampling from Single and Multiple Teachers
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
Ofer Dekel, Claudio Gentile, Karthik Sridharan
COLT
2010
Springer
13 years 9 months ago
Strongly Non-U-Shaped Learning Results by General Techniques
In learning, a semantic or behavioral U-shape occurs when a learner rst learns, then unlearns, and, nally, relearns, some target concept (on the way to success). Within the framew...
John Case, Timo Kötzing
COLT
2010
Springer
13 years 9 months ago
Regret Minimization With Concept Drift
In standard online learning, the goal of the learner is to maintain an average loss that is "not too big" compared to the loss of the best-performing function in a fixed...
Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jenni...
COLT
2010
Springer
13 years 9 months ago
Open Loop Optimistic Planning
We consider the problem of planning in a stochastic and discounted environment with a limited numerical budget. More precisely, we investigate strategies exploring the set of poss...
Sébastien Bubeck, Rémi Munos
CIDU
2010
13 years 9 months ago
Improving Cause Detection Systems with Active Learning
Active learning has been successfully applied to many natural language processing tasks for obtaining annotated data in a cost-effective manner. We propose several extensions to an...
Isaac Persing, Vincent Ng
CIDU
2010
13 years 9 months ago
Tracking Climate Models
Abstract. Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate scientists to simulate and predict climate. Given temperature predic...
Claire Monteleoni, Gavin Schmidt, Shailesh Saroha