Robust optimization in the presence of uncertainty: A generic approach JM Buhmann, AY Gronskiy, M Mihalák, T Pröger, R Šrámek, P Widmayer Journal of Computer and System Sciences 94, 135-166, 2018 | 15 | 2018 |
How informative are minimum spanning tree algorithms? A Gronskiy, JM Buhmann 2014 IEEE International Symposium on Information Theory, 2277-2281, 2014 | 12 | 2014 |
Greedy maxcut algorithms and their information content Y Bian, A Gronskiy, JM Buhmann 2015 IEEE Information Theory Workshop (ITW), 1-5, 2015 | 8 | 2015 |
Free energy rates for a class of very noisy optimization problems JM Buhmann, A Gronskiy, W Szpankowski Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of …, 2014 | 8 | 2014 |
Information-theoretic analysis of maxcut algorithms Y Bian, A Gronskiy, JM Buhmann 2016 Information Theory and Applications Workshop (ITA), 1-5, 2016 | 4 | 2016 |
Phase transitions in parameter rich optimization problems JM Buhmann, J Dumazert, A Gronskiy, W Szpankowski 2017 Proceedings of the Fourteenth Workshop on Analytic Algorithmics and …, 2017 | 3 | 2017 |
Posterior agreement for large parameter-rich optimization problems JM Buhmann, J Dumazert, A Gronskiy, W Szpankowski Theoretical Computer Science 745, 1-22, 2018 | 2 | 2018 |
Free energy asymptotics for problems with weak solution dependencies A Gronskiy, JM Buhmann, W Szpankowski 2018 IEEE International Symposium on Information Theory (ISIT), 2132-2136, 2018 | 1 | 2018 |
Statistical Mechanics and Information Theory in Approximate Robust Inference A Gronskiy ETH Zurich, 2018 | 1 | 2018 |