works on

From the 1 of 5 linked papers with an AI index.

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20242026
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5 papers

stat.AP2026

Estimating Distributions with Failure Rate Properties from Noisy Quantile Data

Timothy C. Y. Chan, Ningyuan Chen, Craig Fernandes +1

The paper develops a method to estimate an unknown cumulative distribution function under increasing failure‑rate shape constraints using noisy quantile observations, providing a t…

cs.SE2025

Agentic Property-Based Testing: Finding Bugs Across the Python Ecosystem

Muhammad Maaz, Liam DeVoe, Zac Hatfield-Dodds +1

Property-based testing (PBT) is a lightweight formal method, typically implemented as a randomized testing framework. Users specify the input domain for their test using combinator…

cs.LG2025

Formal Verification of Markov Processes with Learned Parameters

Muhammad Maaz, Timothy C. Y. Chan

We introduce the problem of formally verifying properties of Markov processes where the parameters are given by the output of machine learning models. For a broad class of machine…

math.OC2025

A new method for reducing algebraic programs to polynomial programs

Muhammad Maaz, Adam W. Strzeboński

We consider a generalization of polynomial programs: algebraic programs, which are optimization or feasibility problems with algebraic objectives or constraints. Algebraic function…

math.OC2024

Exact sensitivity analysis of Markov reward processes via algebraic geometry

Timothy C. Y. Chan, Muhammad Maaz

We introduce a new approach for deterministic sensitivity analysis of Markov reward processes, commonly used in cost-effectiveness analyses, via reformulation into a polynomial sys…