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Journal of Machine Learning Research

Known as: JMLR 
The Journal of Machine Learning Research (usually abbreviated JMLR), is a scientific journal focusing on machine learning, a subfield of artificial… Expand
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Nesterov's momentum trick is famously known for accelerating gradient descent, and has been proven useful in building fast… Expand
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Highly Cited
2015
Highly Cited
2015
We present the Word Mover's Distance (WMD), a novel distance function between text documents. Our work is based on recent results… Expand
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Highly Cited
2014
Highly Cited
2014
 
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2014
2014
TD(λ) is a core algorithm of modern reinforcement learning. Its appeal comes from its equivalence to a clear and conceptually… Expand
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2014
2014
Spectral learning methods have recently been proposed as alternatives to slow, non-convex optimization algorithms like EM for a… Expand
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2014
2014
We consider stochastic multi-armed bandits where the expected reward is a unimodal function over partially ordered arms. This… Expand
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Highly Cited
2013
Highly Cited
2013
Predicting ad click-through rates (CTR) is a massive-scale learning problem that is central to the multi-billion dollar online… Expand
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Highly Cited
2012
Highly Cited
2012
We introduce a novel technique, which we call online-to-confidence-set conversion. The technique allows us to construct… Expand
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Highly Cited
2011
Highly Cited
2011
We address the problem of partially-labeled multiclass classification, where instead of a single label per instance, the… Expand
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Highly Cited
2010
Highly Cited
2010
The principle of parsimony also known as "Ockham's razor" has inspired many theories of model selection. Yet such theories, all… Expand
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