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119
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CORR
2011
Springer
163views Education» more  CORR 2011»
14 years 10 months ago
On Conditions for Linearity of Optimal Estimation
—When is optimal estimation linear? It is well-known that, in the case of a Gaussian source contaminated with Gaussian noise, a linear estimator minimizes the mean square estimat...
Emrah Akyol, Kumar Viswanatha, Kenneth Rose
131
Voted
ICML
2009
IEEE
16 years 4 months ago
Efficient learning algorithms for changing environments
We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in...
Elad Hazan, C. Seshadhri
114
Voted
ICML
2003
IEEE
16 years 4 months ago
Relativized Options: Choosing the Right Transformation
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
Balaraman Ravindran, Andrew G. Barto
157
Voted
SIGECOM
2010
ACM
170views ECommerce» more  SIGECOM 2010»
15 years 8 months ago
Optimal online assignment with forecasts
Motivated by the allocation problem facing publishers in display advertising we formulate the online assignment with forecast problem, a version of the online allocation problem w...
Erik Vee, Sergei Vassilvitskii, Jayavel Shanmugasu...
138
Voted
IEEEPACT
2009
IEEE
15 years 10 months ago
StealthTest: Low Overhead Online Software Testing Using Transactional Memory
—Software testing is hard. The emergence of multicore architectures and the proliferation of bugprone multithreaded software makes testing even harder. To this end, researchers h...
Jayaram Bobba, Weiwei Xiong, Luke Yen, Mark D. Hil...