Jonathan Kuck (born March 14, 1990) is an American speed skater and silver medalist in the Winter Olympics.

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Jonathan Kuck

Kuck at the World Allround Championships 2013 in Hamar
Personal information
Born	(1990-03-14) March 14, 1990 (age 34) Urbana, Illinois
Height	6 ft 0 in (1.83 m)
Weight	175 lb (79 kg)
Sport
Country	United States
Sport	Speed skating
Medal record Men's speed skating Representing the  United States Olympic Games 2010 Vancouver Team pursuit World Allround Championships 2010 Heerenveen Allround World Single Distance Championships 2011 Inzell Team pursuit 2012 Heerenveen Team pursuit 2012 Heerenveen 5000 m 2012 Heerenveen 10000 m World Junior Championships 2009 Zakopane Allround

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At the 2010 Winter Olympics, Kuck won a silver medal in the team pursuit along with Brian Hansen and Chad Hedrick. Kuck has also won four medals at the World Championships, a silver medal at the World Allround Championships, and a silver medal at the World Junior Championships.

Kuck started speed skating when he was ten and has competed internationally since 2008.^[1] He is an alum of Countryside School and University Laboratory High School. He obtained a Bachelor of Science from the University of Illinois at Urbana–Champaign, majoring in engineering physics with a minor in computer science.^[2] In 2020, he completed his PhD in Computer Science at Stanford University with a PhD Thesis titled, Fast Approximate Inference: Shifting the Pareto Frontier via Adaptation - advised by Stefano Ermon.

Kuck's research interests include combinatorial optimization, approximate probabilistic inference, combining probabilistic modeling with deep learning, graph neural networks and learning on irregular data (graphs, sets, and point clouds), robotic perception (object detection and tracking), and uncertainty quantification. Below is a list of his publications.

• Belief Propagation Neural Networks (Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon) Neural Information Processing Systems (NeurIPS), 2020 (paper)
• Approximating the Permanent by Sampling from Adaptive Partitions (Jonathan Kuck, Tri Dao, Hamid Rezatofighi, Ashish Sabharwal, Stefano Ermon) Neural Information Processing Systems (NeurIPS), 2019 (paper)
• Adaptive Hashing for Model Counting (Jonathan Kuck, Tri Dao, Shenjia Zhao, Burak Bartan, Ashish Sabharwal, Stefano Ermon) Uncertainty in Artificial Intelligence (UAI), 2019 (paper)
• Approximate Inference via Weighted Rademacher Complexity (Jonathan Kuck, Ashish Sabharwal, Stefano Ermon) Conference on Artificial Intelligence (AAAI), 2018 (paper)
• Query-Based Outlier Detection in Heterogeneous Information Networks (Jonathan Kuck*, Honglei Zhuang*, Xifeng Yan, Hasan Cam, Jiawei Han) International Conference on Extending Database Technology (EDBT), 2015 (paper)