Zobrazeno 1 - 6
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pro vyhledávání: '"Paul Krogmeier"'
Autor:
Paul Krogmeier, P. Madhusudan
Publikováno v:
Proceedings of the ACM on Programming Languages. 7:143-171
We study expression learning problems with syntactic restrictions and introduce the class of finite-aspect checkable languages to characterize symbolic languages that admit decidable learning. The semantics of such languages can be defined using a bo
Publikováno v:
Proceedings of the ACM on Programming Languages. 6:1697-1725
Axioms and inference rules form the foundation of deductive systems and are crucial in the study of reasoning with logics over structures. Historically, axiomatizations have been discovered manually with much expertise and effort. In this paper we sh
Publikováno v:
Proceedings of the ACM on Programming Languages. 5:1-30
Differential privacy is a mathematical framework for developing statistical computations with provable guarantees of privacy and accuracy. In contrast to the privacy component of differential privacy, which has a clear mathematical and intuitive mean
Autor:
Paul Krogmeier, P. Madhusudan
We consider grammar-restricted exact learning of formulas and terms in finite variable logics. We propose a novel and versatile automata-theoretic technique for solving such problems. We first show results for learning formulas that classify a set of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9db0c33afbf96ac390fce932b4a3add0
Publikováno v:
Computer Aided Verification ISBN: 9783030532901
CAV (2)
CAV (2)
We identify a decidable synthesis problem for a class of programs of unbounded size with conditionals and iteration that work over infinite data domains. The programs in our class use uninterpreted functions and relations, and abide by a restriction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ac4ef5b138929f87c96d6568d31bfe1
https://doi.org/10.1007/978-3-030-53291-8_32
https://doi.org/10.1007/978-3-030-53291-8_32
We investigate the decidability of automatic program verification for programs that manipulate heaps, and in particular, decision procedures for proving memory safety for them. We extend recent work that identified a decidable subclass of uninterpret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89f7e2a656987cae0f2911e146e9b68a