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2020 – today
- 2022
[c11]Simon Odense, Kamal Gupta, William G. Macready:
Neural-Guided Runtime Prediction of Planners for Improved Motion and Task Planning with Graph Neural Networks. IROS 2022: 12471-12478- [i13]Simon Odense, Kamal Gupta, William G. Macready:
Neural-Guided RuntimePrediction of Planners for Improved Motion and Task Planning with Graph Neural Networks. CoRR abs/2207.14422 (2022) - 2020
- [j12]Zhengbing Bian, Fabián A. Chudak, William G. Macready, Aidan Roy, Roberto Sebastiani, Stefano Varotti:
Solving SAT (and MaxSAT) with a quantum annealer: Foundations, encodings, and preliminary results. Inf. Comput. 275: 104609 (2020) - [c10]Mostafa S. Ibrahim, Arash Vahdat, Mani Ranjbar, William G. Macready:
Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks. CVPR 2020: 12712-12722 - [c9]Arash Vahdat, Evgeny Andriyash, William G. Macready:
Undirected Graphical Models as Approximate Posteriors. ICML 2020: 9680-9689
2010 – 2019
- 2019
- [c8]Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready:
A Robust Learning Approach to Domain Adaptive Object Detection. ICCV 2019: 480-490 - [i12]Arash Vahdat, Evgeny Andriyash, William G. Macready:
Learning Undirected Posteriors by Backpropagation through MCMC Updates. CoRR abs/1901.03440 (2019) - [i11]Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready:
A Robust Learning Approach to Domain Adaptive Object Detection. CoRR abs/1904.02361 (2019) - 2018
- [c7]Arash Vahdat, William G. Macready, Zhengbing Bian, Amir Khoshaman, Evgeny Andriyash:
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations. ICML 2018: 5042-5051 - [c6]Arash Vahdat, Evgeny Andriyash, William G. Macready:
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors. NeurIPS 2018: 1869-1878 - [i10]Arash Vahdat, William G. Macready, Zhengbing Bian, Amir Khoshaman:
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations. CoRR abs/1802.04920 (2018) - [i9]Arash Vahdat, Evgeny Andriyash, William G. Macready:
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors. CoRR abs/1805.07445 (2018) - [i8]Evgeny Andriyash, Arash Vahdat, William G. Macready:
Improved Gradient-Based Optimization Over Discrete Distributions. CoRR abs/1810.00116 (2018) - [i7]Zhengbing Bian, Fabián A. Chudak, William G. Macready, Aidan Roy, Roberto Sebastiani, Stefano Varotti:
Solving SAT and MaxSAT with a Quantum Annealer: Foundations, Encodings, and Preliminary Results. CoRR abs/1811.02524 (2018) - [i6]Mostafa S. Ibrahim, Arash Vahdat, William G. Macready:
Weakly Supervised Semantic Image Segmentation with Self-correcting Networks. CoRR abs/1811.07073 (2018) - 2017
- [c5]Zhengbing Bian, Fabián A. Chudak, William G. Macready, Aidan Roy, Roberto Sebastiani, Stefano Varotti:
Solving SAT and MaxSAT with a Quantum Annealer: Foundations and a Preliminary Report. FroCoS 2017: 153-171 - 2016
- [j11]Zhengbing Bian, Fabián A. Chudak, Robert B. Israel, Brad Lackey, William G. Macready, Aidan Roy:
Mapping Constrained Optimization Problems to Quantum Annealing with Application to Fault Diagnosis. Frontiers ICT 3: 14 (2016) - [j10]Mani Ranjbar, William G. Macready, Lane H. Clark, Frank Gaitan
:
Generalized Ramsey numbers through adiabatic quantum optimization. Quantum Inf. Process. 15(9): 3519-3542 (2016) - [i5]Dmytro Korenkevych, Yanbo Xue, Zhengbing Bian, Fabián A. Chudak, William G. Macready, Jason Rolfe, Evgeny Andriyash:
Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines. CoRR abs/1611.04528 (2016) - 2014
- [i4]Jun Cai, William G. Macready, Aidan Roy:
A practical heuristic for finding graph minors. CoRR abs/1406.2741 (2014) - 2012
- [j9]Kamran Karimi, Neil G. Dickson, Firas Hamze, Mohammad H. S. Amin, Marshall Drew-Brook, Fabián A. Chudak, Paul I. Bunyk, William G. Macready, Geordie Rose:
Investigating the performance of an adiabatic quantum optimization processor. Quantum Inf. Process. 11(1): 77-88 (2012) - [c4]Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready:
QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. ACML 2012: 333-348 - 2010
- [i3]Geordie Rose, Kamran Karimi, Neil G. Dickson, Firas Hamze, Mohammad H. S. Amin, Marshall Drew-Brook, Fabián A. Chudak, Paul I. Bunyk, William G. Macready:
Investigating the Performance of an Adiabatic Quantum Optimization Processor. CoRR abs/1006.4147 (2010)
2000 – 2009
- 2009
- [i2]Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready:
Training a Large Scale Classifier with the Quantum Adiabatic Algorithm. CoRR abs/0912.0779 (2009) - 2008
- [i1]William G. Macready, David H. Wolpert:
Distributed Constrained Optimization with Semicoordinate Transformations. CoRR abs/0811.0823 (2008) - 2007
- [j8]David H. Wolpert, William G. Macready:
Using self-dissimilarity to quantify complexity. Complex. 12(3): 77-85 (2007) - 2005
- [j7]David H. Wolpert, William G. Macready:
Coevolutionary free lunches. IEEE Trans. Evol. Comput. 9(6): 721-735 (2005) - 2004
- [c3]Robert B. Gramacy, Herbert K. H. Lee, William G. Macready:
Parameter space exploration with Gaussian process trees. ICML 2004 - 2001
- [j6]Mario Köppen, David H. Wolpert, William G. Macready:
Remarks on a recent paper on the "no free lunch" theorems. IEEE Trans. Evol. Comput. 5(3): 295-296 (2001)
1990 – 1999
- 1999
- [j5]David H. Wolpert, William G. Macready:
An Efficient Method To Estimate Bagging's Generalization Error. Mach. Learn. 35(1): 41-55 (1999) - [c2]William G. Macready, Bennett S. Levitan:
Learning landscapes: regression on discrete spaces. CEC 1999: 687-694 - 1998
- [j4]William G. Macready, David H. Wolpert:
Bandit problems and the exploration/exploitation tradeoff. IEEE Trans. Evol. Comput. 2(1): 2-22 (1998) - [c1]William G. Macready:
Tailoring Mutation to Landscape Properties. Evolutionary Programming 1998: 355-364 - 1997
- [j3]David H. Wolpert, William G. Macready:
No free lunch theorems for optimization. IEEE Trans. Evol. Comput. 1(1): 67-82 (1997) - 1996
- [j2]William G. Macready, David H. Wolpert:
What makes an optimization problem hard? Complex. 1(5): 40-46 (1996) - 1995
- [j1]Stuart A. Kauffman, William G. Macready:
Technological evolution and adaptive organizations: Ideas from biology may find applications in economics. Complex. 1(2): 26-43 (1995)
Coauthor Index
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