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Adaptive optimization

Known as: Adaptive optimizer, Deoptimization 
Adaptive optimization is a technique in computer science that performs dynamic recompilation of portions of a program based on the current execution… Expand
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Papers overview

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2019
2019
Several first order stochastic optimization methods commonly used in the Euclidean domain such as stochastic gradient descent… Expand
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Highly Cited
2018
Highly Cited
2018
Adaptive gradient methods that rely on scaling gradients down by the square root of exponential moving averages of past squared… Expand
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Highly Cited
2012
Highly Cited
2012
We consider a two-stage adaptive linear optimization problem under right hand side uncertainty with a min–max objective and give… Expand
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Highly Cited
2011
Highly Cited
2011
Some queries cannot be answered by machines only. Processing such queries requires human input for providing information that is… Expand
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Highly Cited
2010
Highly Cited
2010
The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making… Expand
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Highly Cited
2010
Highly Cited
2010
For many years, wireless RF power transmission has been investigated as a viable method of power delivery in a wide array of… Expand
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Highly Cited
2009
Highly Cited
2009
Recent years have seen a trend in using graphic processing units (GPU) as accelerators for general-purpose computing. The… Expand
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Highly Cited
2006
Highly Cited
2006
The performance of the distributed coordination function (DCF) of the IEEE 802.11 protocol has been shown to heavily depend on… Expand
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Highly Cited
2003
Highly Cited
2003
Multiuser orthogonal frequency division multiplexing (MU-OFDM) is a promising technique for achieving high downlink capacities in… Expand
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Highly Cited
1998
Highly Cited
1998
Weighted median smoothers, which were introduced by Edgemore in the context of least absolute regression over 100 years ago, have… Expand
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