William G. Macready

36 papers A* 6A 1B 1C 1Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	A	`conf`	Neural-Guided Runtime Prediction of Planners for Improved Motion and Task Planning with Graph Neural Networks. IROS Simon Odense, Kamal Gupta, William G. Macready
2022	J	`jnl`	Neural-Guided RuntimePrediction of Planners for Improved Motion and Task Planning with Graph Neural Networks. CoRR Simon Odense, Kamal Gupta, William G. Macready
2020	A*	`conf`	Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks. CVPR Mostafa S. Ibrahim, Arash Vahdat, Mani Ranjbar, William G. Macready
2020	J	`jnl`	Solving SAT (and MaxSAT) with a quantum annealer: Foundations, encodings, and preliminary results. Inf. Comput. Zhengbing Bian, Fabián A. Chudak, William G. Macready, Aidan Roy, Roberto Sebastiani, Stefano Varotti
2020	A*	`conf`	Undirected Graphical Models as Approximate Posteriors. ICML Arash Vahdat, Evgeny Andriyash, William G. Macready
2019	A*	`conf`	A Robust Learning Approach to Domain Adaptive Object Detection. ICCV Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready
2019	J	`jnl`	A Robust Learning Approach to Domain Adaptive Object Detection. CoRR Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready
2019	J	`jnl`	Learning Undirected Posteriors by Backpropagation through MCMC Updates. CoRR Arash Vahdat, Evgeny Andriyash, William G. Macready
2018	A*	`conf`	DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors. NeurIPS Arash Vahdat, Evgeny Andriyash, William G. Macready
2018	J	`jnl`	DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors. CoRR Arash Vahdat, Evgeny Andriyash, William G. Macready
2018	A*	`conf`	DVAE++: Discrete Variational Autoencoders with Overlapping Transformations. ICML Arash Vahdat, William G. Macready, Zhengbing Bian, Amir Khoshaman, Evgeny Andriyash
2018	J	`jnl`	DVAE++: Discrete Variational Autoencoders with Overlapping Transformations. CoRR Arash Vahdat, William G. Macready, Zhengbing Bian, Amir Khoshaman
2018	J	`jnl`	Improved Gradient-Based Optimization Over Discrete Distributions. CoRR Evgeny Andriyash, Arash Vahdat, William G. Macready
2018	J	`jnl`	Solving SAT and MaxSAT with a Quantum Annealer: Foundations, Encodings, and Preliminary Results. CoRR Zhengbing Bian, Fabián A. Chudak, William G. Macready, Aidan Roy, Roberto Sebastiani, Stefano Varotti
2018	J	`jnl`	Weakly Supervised Semantic Image Segmentation with Self-correcting Networks. CoRR Mostafa S. Ibrahim, Arash Vahdat, William G. Macready
2017	—	`conf`	Solving SAT and MaxSAT with a Quantum Annealer: Foundations and a Preliminary Report. FroCoS Zhengbing Bian, Fabián A. Chudak, William G. Macready, Aidan Roy, Roberto Sebastiani, Stefano Varotti
2016	J	`jnl`	Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines. CoRR Dmytro Korenkevych, Yanbo Xue, Zhengbing Bian, Fabián A. Chudak, William G. Macready, Jason Rolfe, Evgeny Andriyash
2016	J	`jnl`	Generalized Ramsey numbers through adiabatic quantum optimization. Quantum Inf. Process. Mani Ranjbar, William G. Macready, Lane H. Clark, Frank Gaitan
2016	J	`jnl`	Mapping Constrained Optimization Problems to Quantum Annealing with Application to Fault Diagnosis. Frontiers ICT Zhengbing Bian, Fabián A. Chudak, Robert B. Israel, Brad Lackey, William G. Macready, Aidan Roy
2014	J	`jnl`	A practical heuristic for finding graph minors. CoRR Jun Cai, William G. Macready, Aidan Roy
2012	J	`jnl`	Investigating the performance of an adiabatic quantum optimization processor. Quantum Inf. Process. 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
2012	C	`conf`	QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. ACML Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready
2010	J	`jnl`	Investigating the Performance of an Adiabatic Quantum Optimization Processor CoRR 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
2009	J	`jnl`	Training a Large Scale Classifier with the Quantum Adiabatic Algorithm CoRR Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready
2008	J	`jnl`	Distributed Constrained Optimization with Semicoordinate Transformations CoRR William G. Macready, David H. Wolpert
2007	J	`jnl`	Using self-dissimilarity to quantify complexity. Complex. David H. Wolpert, William G. Macready
2005	J	`jnl`	Coevolutionary free lunches. IEEE Trans. Evol. Comput. David H. Wolpert, William G. Macready
2004	A*	`conf`	Parameter space exploration with Gaussian process trees. ICML Robert B. Gramacy, Herbert K. H. Lee, William G. Macready
2001	J	`jnl`	Remarks on a recent paper on the "no free lunch" theorems. IEEE Trans. Evol. Comput. Mario Köppen, David H. Wolpert, William G. Macready
1999	J	`jnl`	An Efficient Method To Estimate Bagging's Generalization Error. Mach. Learn. David H. Wolpert, William G. Macready
1999	B	`conf`	Learning landscapes: regression on discrete spaces. CEC William G. Macready, Bennett S. Levitan
1998	J	`jnl`	Bandit problems and the exploration/exploitation tradeoff. IEEE Trans. Evol. Comput. William G. Macready, David H. Wolpert
1998	—	`conf`	Tailoring Mutation to Landscape Properties. Evolutionary Programming William G. Macready
1997	J	`jnl`	No free lunch theorems for optimization. IEEE Trans. Evol. Comput. David H. Wolpert, William G. Macready
1996	J	`jnl`	What makes an optimization problem hard? Complex. William G. Macready, David H. Wolpert
1995	J	`jnl`	Technological evolution and adaptive organizations: Complex. Stuart A. Kauffman, William G. Macready