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Thomas P. Hayes

University of New Mexico
University of Chicago

101

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Distributed Metropolis Sampler with Optimal Parallelism.

2022 SODA | Symposium on Discrete Algorithms
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Distributed Metropolis Sampler with Optimal Parallelism

2021 SODA | Symposium on Discrete Algorithms
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Wake up and Join Me! an Energy-Efficient Algorithm for Maximal Matching in Radio Networks

2021 DISC | International Conference on Distributed Computing
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On the Power of Choice for k-Colorability of Random Graphs.

2021 APPROX/RANDOM | International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
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Brief Announcement: Wake Up and Join Me! An Energy Efficient Algorithm for Maximal Matching in Radio Networks

2021 PODC | Principles of Distributed Computing
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Wake Up and Join Me! An Energy-Efficient Algorithm for Maximal Matching in Radio Networks

2021
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Distributed metropolis sampler with optimal parallelism

2021 SODA | Symposium on Discrete Algorithms
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Improved Reconstruction of Random Geometric Graphs.

2021 arXiv: Computational Geometry
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A Scalable Algorithm for Multiparty Interactive Communication with Private Channels

2020 ICDCN | International Conference of Distributed Computing and Networking
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The Energy Complexity of BFS in Radio Networks

2020 PODC | Principles of Distributed Computing
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