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COLT
2004
Springer
16 years 24 days ago
Online Geometric Optimization in the Bandit Setting Against an Adaptive Adversary
We give an algorithm for the bandit version of a very general online optimization problem considered by Kalai and Vempala [1], for the case of an adaptive adversary. In this proble...
H. Brendan McMahan, Avrim Blum
SIGUCCS
2003
ACM
16 years 20 days ago
Teaching with technology, setting an example
Providing instructional technology support for faculty requires a range of skills, from knowledge of software and hardware, to an ability to communicate, teach workshops, and rela...
Trevor Murphy, Mika Hirai
FOCS
2010
IEEE
15 years 5 months ago
A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
Abstract--We consider statistical data analysis in the interactive setting. In this setting a trusted curator maintains a database of sensitive information about individual partici...
Moritz Hardt, Guy N. Rothblum
ICMLA
2010
15 years 5 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
ECCV
2010
Springer
16 years 18 days ago
On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...