6 Publications

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[6]
2020 | Conference Paper | IST-REx-ID: 8089 | OA
Polynomial invariant generation for non-deterministic recursive programs
K. Chatterjee, H. Fu, A.K. Goharshady, E.K. Goharshady, in:, Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, Association for Computing Machinery, 2020, pp. 672–687.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[5]
2019 | Conference Paper | IST-REx-ID: 6175 | OA
Cost analysis of nondeterministic probabilistic programs
P. Wang, H. Fu, A.K. Goharshady, K. Chatterjee, X. Qin, W. Shi, in:, PLDI 2019: Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, Association for Computing Machinery, 2019, pp. 204–220.
View | Files available | DOI | arXiv
 
[4]
2018 | Conference Paper | IST-REx-ID: 5977 | OA
Computational approaches for stochastic shortest path on succinct MDPs
K. Chatterjee, H. Fu, A.K. Goharshady, N. Okati, in:, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI, 2018, pp. 4700–4707.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2018 | Journal Article | IST-REx-ID: 5993 | OA
Algorithmic analysis of qualitative and quantitative termination problems for affine probabilistic programs
K. Chatterjee, H. Fu, P. Novotný, R. Hasheminezhad, ACM Transactions on Programming Languages and Systems 40 (2018).
View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[2]
2016 | Conference Paper | IST-REx-ID: 1386 | OA
Termination analysis of probabilistic programs through Positivstellensatz's
K. Chatterjee, H. Fu, A.K. Goharshady, in:, Springer, 2016, pp. 3–22.
View | Files available | DOI | Download Preprint (ext.)
 
[1]
2016 | Conference Paper | IST-REx-ID: 1438 | OA
Algorithmic analysis of qualitative and quantitative termination problems for affine probabilistic programs
K. Chatterjee, H. Fu, P. Novotný, R. Hasheminezhad, in:, ACM, 2016, pp. 327–342.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 

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6 Publications

Mark all

[6]
2020 | Conference Paper | IST-REx-ID: 8089 | OA
Polynomial invariant generation for non-deterministic recursive programs
K. Chatterjee, H. Fu, A.K. Goharshady, E.K. Goharshady, in:, Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, Association for Computing Machinery, 2020, pp. 672–687.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[5]
2019 | Conference Paper | IST-REx-ID: 6175 | OA
Cost analysis of nondeterministic probabilistic programs
P. Wang, H. Fu, A.K. Goharshady, K. Chatterjee, X. Qin, W. Shi, in:, PLDI 2019: Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, Association for Computing Machinery, 2019, pp. 204–220.
View | Files available | DOI | arXiv
 
[4]
2018 | Conference Paper | IST-REx-ID: 5977 | OA
Computational approaches for stochastic shortest path on succinct MDPs
K. Chatterjee, H. Fu, A.K. Goharshady, N. Okati, in:, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI, 2018, pp. 4700–4707.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2018 | Journal Article | IST-REx-ID: 5993 | OA
Algorithmic analysis of qualitative and quantitative termination problems for affine probabilistic programs
K. Chatterjee, H. Fu, P. Novotný, R. Hasheminezhad, ACM Transactions on Programming Languages and Systems 40 (2018).
View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[2]
2016 | Conference Paper | IST-REx-ID: 1386 | OA
Termination analysis of probabilistic programs through Positivstellensatz's
K. Chatterjee, H. Fu, A.K. Goharshady, in:, Springer, 2016, pp. 3–22.
View | Files available | DOI | Download Preprint (ext.)
 
[1]
2016 | Conference Paper | IST-REx-ID: 1438 | OA
Algorithmic analysis of qualitative and quantitative termination problems for affine probabilistic programs
K. Chatterjee, H. Fu, P. Novotný, R. Hasheminezhad, in:, ACM, 2016, pp. 327–342.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 

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