Mark Sellke

25 papers and 156 indexed citations i.

Mark Sellke has authored 25 papers that have received a total of 156 indexed citations. This includes 8 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 7 papers in Condensed Matter Physics. The topics of these papers are Theoretical and Computational Physics (7 papers), Markov Chains and Monte Carlo Methods (5 papers) and Topological and Geometric Data Analysis (5 papers). Mark Sellke is often cited by papers focused on Theoretical and Computational Physics (7 papers), Markov Chains and Monte Carlo Methods (5 papers) and Topological and Geometric Data Analysis (5 papers) and collaborates with scholars based in United States and United Kingdom. Mark Sellke's co-authors include A. El Alaoui, Sébastien Bubeck, Yuval Peres, Andrea Montanari and Gireeja Ranade and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Operations Research