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Author / Creator / Contributor
- 2Joulani, Pooria
- 1Abbasi-Yadkori, Yasin
- 1Afkanpour, Arash
- 1Ajallooeian, Mohammad Mahdi
- 1Aslan,Ozlem
- 1Ayoub, Alex
Subject / Keyword
- 4Machine learning
- 4Online Learning
- 4Reinforcement Learning
- 3Learning theory
- 3Machine Learning
- 2Online learning
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Results for "supervisors_tesim:"Szepesvari, Csaba (Computing Science)""
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Fall 2019
We study three problems in the application, design, and analysis of online optimization algorithms for machine learning. First, we consider speeding-up the common task of k-fold cross-validation of online algorithms, and provide TreeCV, an algorithm that reduces the time penalty of k-fold...
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Fall 2019
In this thesis, we investigate different vector step-size adaptation approaches for continual, online prediction problems. Vanilla stochastic gradient descent can be considerably improved by scaling the update with a vector of appropriately chosen step-sizes. Many methods, including AdaGrad,...
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