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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% JOURNALS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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@article{BPHR24,
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title = {Data-Driven Invariant Learning for Probabilistic Programs},
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author = {Bao, Jialu and
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Trivedi, Nitesh and
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Pathak, Drashti and
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Hsu, Justin and
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Roy, Subhajit},
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url = {https://arxiv.org/abs/2106.05421},
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eprint = {2106.05421},
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archivePrefix = {arXiv},
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primaryClass = {cs.PL},
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journal = {Formal Methods in System Design},
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year = 2024,
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doi = {10.1007/s10703-024-00466-x},
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jh = yes,
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jhsite = yes,
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reviewed = yes,
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note = "Previously published in " # cav22 # ", 2022."
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}
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@article{lmcs:5989,
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TITLE = {Relational $\star$-Liftings for Differential Privacy},
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AUTHOR = {Barthe, Gilles and Espitau, Thomas and Hsu, Justin and Sato, Tetsuya and Strub, Pierre-Yves},
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@ -207,7 +227,7 @@
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note = "Appeared at " # oopsla22 # ".",
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}
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@inproceedings{BPHR21,
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inproceedings{BPHR21,
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title = {Data-Driven Invariant Learning for Probabilistic Programs},
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author = {Bao, Jialu and
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Trivedi, Nitesh and
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@ -1422,6 +1442,14 @@ inproceedings{HHRRW14,
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}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% TALKS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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@talk{presburger-talk,
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title = {Logics for Separation in Randomized Programs},
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organization = {{EATCS} Presburger Award},
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year = 2024,
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month = jul,
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jh = yes,
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}
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@talk{njpls23-talk,
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title = {Cutting the Cake: A Language for Fair Division},
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organization = {New Jersey Programming Languages and Systems Seminar ({NJPLS})},
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