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459 Publications


2020 | Conference Paper | IST-REx-ID: 8324 | OA
Wang, P., Fu, H., Chatterjee, K., Deng, Y., & Xu, M. (2020). Proving expected sensitivity of probabilistic programs with randomized variable-dependent termination time. In Proceedings of the ACM on Programming Languages (Vol. 4). ACM. https://doi.org/10.1145/3371093
[Published Version] View | Files available | DOI | arXiv
 

2020 | Journal Article | IST-REx-ID: 15055 | OA
Brázdil, T., Chatterjee, K., Novotný, P., & Vahala, J. (2020). Reinforcement learning of risk-constrained policies in Markov decision processes. Proceedings of the 34th AAAI Conference on Artificial Intelligence. New York, NY, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v34i06.6531
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 15082 | OA
Aichholzer, O., Obmann, J., Patak, P., Perz, D., & Tkadlec, J. (2020). Disjoint tree-compatible plane perfect matchings. In 36th European Workshop on Computational Geometry. Würzburg, Germany, Virtual.
[Published Version] View | Download Published Version (ext.)
 

2020 | Conference Paper | IST-REx-ID: 7810 | OA
Chatterjee, K., Goharshady, A. K., Ibsen-Jensen, R., & Pavlogiannis, A. (2020). Optimal and perfectly parallel algorithms for on-demand data-flow analysis. In European Symposium on Programming (Vol. 12075, pp. 112–140). Dublin, Ireland: Springer Nature. https://doi.org/10.1007/978-3-030-44914-8_5
[Published Version] View | Files available | DOI | WoS
 

2020 | Conference Paper | IST-REx-ID: 8728 | OA
Asadi, A., Chatterjee, K., Goharshady, A. K., Mohammadi, K., & Pavlogiannis, A. (2020). Faster algorithms for quantitative analysis of MCs and MDPs with small treewidth. In Automated Technology for Verification and Analysis (Vol. 12302, pp. 253–270). Hanoi, Vietnam: Springer Nature. https://doi.org/10.1007/978-3-030-59152-6_14
[Submitted Version] View | Files available | DOI | WoS
 

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