activity
20242026
most citedError Credits: Resourceful Reasoning about Error Bounds for Higher-Order Probabilistic Programs

10 citations · 27 across the 9 of their papers we have counts for

collaborators

10 papers

cs.LO2026

Elton: Urn Resources for Reasoning about Adversarial Probabilistic Programs

Kwing Hei Li, Alejandro Aguirre, Philipp G. Haselwarter +2

Probabilistic programs are important for many applications. For security applications in particular, one is interested in establishing properties that hold in the presence of arbit…

cs.LO2026

Verifying Exact Samplers for Continuous Distributions with a Discrete Program Logic

Markus de Medeiros, Puming Liu, Kwing Hei Li +3

Most implementations of sampling algorithms for continuous distributions use floating-point numbers, which introduce round-off errors and approximations. These errors can be diffic…

cs.PL2026

Modular Verification of Differential Privacy in Probabilistic Higher-Order Separation Logic (Extended Version)

Philipp G. Haselwarter, Alejandro Aguirre, Simon Oddershede Gregersen +3

Differential privacy is the standard method for privacy-preserving data analysis. The importance of having strong guarantees on the reliability of implementations of differentially…

cs.LO2025★ 1 cited

Contextual Refinement of Higher-Order Concurrent Probabilistic Programs (Extended Version)

Kwing Hei Li, Alejandro Aguirre, Joseph Tassarotti +1

We present Foxtrot, the first higher-order separation logic for proving contextual refinement of higher-order concurrent probabilistic programs with higher-order local state. From…

cs.LO2025

Modular Reasoning about Error Bounds for Concurrent Probabilistic Programs (Extended Version)

Kwing Hei Li, Alejandro Aguirre, Simon Oddershede Gregersen +3

We present Coneris, the first higher-order concurrent separation logic for reasoning about error probability bounds of higher-order concurrent probabilistic programs with higher-or…

cs.PL2024

Modelling Recursion and Probabilistic Choice in Guarded Type Theory

Philipp Jan Andries Stassen, Rasmus Ejlers Møgelberg, Maaike Zwart +2

Constructive type theory combines logic and programming in one language. This is useful both for reasoning about programs written in type theory, as well as for reasoning about oth…

cs.LO2024★ 8 cited

Approximate Relational Reasoning for Higher-Order Probabilistic Programs

Philipp G. Haselwarter, Kwing Hei Li, Alejandro Aguirre +3

Properties such as provable security and correctness for randomized programs are naturally expressed relationally as approximate equivalences. As a result, a number of relational p…

cs.LO2024★ 5 cited

Tachis: Higher-Order Separation Logic with Credits for Expected Costs

Philipp G. Haselwarter, Kwing Hei Li, Markus de Medeiros +4

We present Tachis, a higher-order separation logic to reason about the expected cost of probabilistic programs. Inspired by the uses of time credits for reasoning about the running…

cs.LO2024★ 10 cited

Error Credits: Resourceful Reasoning about Error Bounds for Higher-Order Probabilistic Programs

Alejandro Aguirre, Philipp G. Haselwarter, Markus de Medeiros +4

Probabilistic programs often trade accuracy for efficiency, and thus may, with a small probability, return an incorrect result. It is important to obtain precise bounds for the pro…

cs.LO2024★ 3 cited

Almost-Sure Termination by Guarded Refinement

Simon Oddershede Gregersen, Alejandro Aguirre, Philipp G. Haselwarter +2

Almost-sure termination is an important correctness property for probabilistic programs, and a number of program logics have been developed for establishing it. However, these logi…