William G. Macready - researchr alias

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Viewing Publication 1 - 23 from 23

2022

Neural-Guided Runtime Prediction of Planners for Improved Motion and Task Planning with Graph Neural NetworksSimon Odense, Kamal Gupta, William G. Macready. iros 2022: 12471-12478 [doi]

2020

2019

A Robust Learning Approach to Domain Adaptive Object DetectionMehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready. iccv 2019: 480-490 [doi]

2018

DVAE++: Discrete Variational Autoencoders with Overlapping TransformationsArash Vahdat, William G. Macready, Zhengbing Bian, Amir Khoshaman, Evgeny Andriyash. icml 2018: 5042-5051 [doi]

DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann PriorsArash Vahdat, Evgeny Andriyash, William G. Macready. nips 2018: 1869-1878 [doi]

2017

Solving SAT and MaxSAT with a Quantum Annealer: Foundations and a Preliminary ReportZhengbing Bian, Fabián A. Chudak, William G. Macready, Aidan Roy, Roberto Sebastiani, Stefano Varotti. frocos 2017: 153-171 [doi]

2016

Mapping Constrained Optimization Problems to Quantum Annealing with Application to Fault DiagnosisZhengbing Bian, Fabián A. Chudak, Robert B. Israel, Brad Lackey, William G. Macready, Aidan Roy. fiict, 2016:14, 2016. [doi]

Generalized Ramsey numbers through adiabatic quantum optimizationMani Ranjbar, William G. Macready, Lane Clark, Frank Gaitan. qip, 15(9):3519-3542, 2016. [doi]

2012

Investigating the performance of an adiabatic quantum optimization processorKamran Karimi, Neil G. Dickson, Firas Hamze, Mohammad H. S. Amin, Marshall Drew-Brook, Fabián A. Chudak, Paul I. Bunyk, William G. Macready, Geordie Rose. qip, 11(1):77-88, 2012. [doi]

QBoost: Large Scale Classifier Training with Adiabatic Quantum OptimizationHartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready. jmlr, 25:333-348, 2012. [doi]

2007

Using self-dissimilarity to quantify complexityDavid H. Wolpert, William G. Macready. complexity, 12(3):77-85, 2007. [doi]

2005

Coevolutionary free lunchesDavid H. Wolpert, William G. Macready. tec, 9(6):721-735, 2005. [doi]

2004

Parameter space exploration with Gaussian process treesRobert B. Gramacy, Herbert K. H. Lee, William G. Macready. icml 2004: [doi]

2001

Remarks on a recent paper on the no free lunch theoremsMario Köppen, David Wolpert, William G. Macready. tec, 5(3):295-296, 2001.

1999

Learning landscapes: regression on discrete spacesWilliam G. Macready, Bennett S. Levitan. cec 1999: 687-694 [doi]

An Efficient Method To Estimate Bagging s Generalization ErrorDavid Wolpert, William G. Macready. ml, 35(1):41-55, 1999.

1998

Bandit problems and the exploration/exploitation tradeoffWilliam G. Macready, David Wolpert. tec, 2(1):2-22, 1998.

Tailoring Mutation to Landscape PropertiesWilliam G. Macready. eps 1998: 355-364

1997

No free lunch theorems for optimizationDavid Wolpert, William G. Macready. tec, 1(1):67-82, 1997.

1996

What makes an optimization problem hand?William G. Macready, David H. Wolpert. complexity, 1(5):40-46, 1996. [doi]

1995

Ideas from biology may find applications in economicsStuart A. Kauffman, William G. Macready. complexity, 1(2):26-43, 1995. [doi]

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