Sorting and selection with imprecise comparisons

M Ajtai, V Feldman, A Hassidim, J Nelson - ACM Transactions on …, 2015 - dl.acm.org
We consider a simple model of imprecise comparisons: there exists some δ> 0 such that
when a subject is given two elements to compare, if the values of those elements (as …

Contract scheduling with predictions

S Angelopoulos, S Kamali - Journal of Artificial Intelligence Research, 2023 - jair.org
Contract scheduling is a general technique that allows the design of systems with
interruptible capabilities, given an algorithm that is not necessarily interruptible. Previous …

Online search with best-price and query-based predictions

S Angelopoulos, S Kamali, D Zhang - Proceedings of the AAAI …, 2022 - ojs.aaai.org
In the online (time-series) search problem, a player is presented with a sequence of prices
which are revealed in an online manner. In the standard definition of the problem, for each …

Optimal sorting with persistent comparison errors

B Geissmann, S Leucci, CH Liu, P Penna - arXiv preprint arXiv …, 2018 - arxiv.org
We consider the problem of sorting $ n $ elements in the case of\emph {persistent}
comparison errors. In this model (Braverman and Mossel, SODA'08), each comparison …

Sorting with recurrent comparison errors

B Geissmann, S Leucci, CH Liu, P Penna - arXiv preprint arXiv …, 2017 - arxiv.org
We present a sorting algorithm for the case of recurrent random comparison errors. The
algorithm essentially achieves simultaneously good properties of previous algorithms for …

[HTML][HTML] Exact learning from an honest teacher that answers membership queries

NH Bshouty - Theoretical Computer Science, 2018 - Elsevier
Given a teacher that holds a function f: X→ R from some class of functions C. The teacher
can receive from the learner an element d in the domain X (a query) and returns the value of …

A framework for searching in graphs in the presence of errors

D Dereniowski, S Tiegel, P Uznański… - arXiv preprint arXiv …, 2018 - arxiv.org
We consider the problem of searching for an unknown target vertex $ t $ in a (possibly edge-
weighted) graph. Each\emph {vertex-query} points to a vertex $ v $ and the response either …

Adaptive group testing algorithms to estimate the number of defectives

NH Bshouty, VE Bshouty-Hurani… - Algorithmic …, 2018 - proceedings.mlr.press
We study the problem of estimating the number of defective items in adaptive Group testing
by using a minimum number of queries. We improve the existing algorithm and prove a …

Improved Lower Bound for Estimating the Number of Defective Items

NH Bshouty - International Conference on Combinatorial …, 2023 - Springer
Let X be a set of items of size n that contains some defective items, denoted by I, where I⊆
X. In group testing, a test refers to a subset of items Q⊂ X. The outcome of a test is 1 if Q …

Optimal dislocation with persistent errors in subquadratic time

B Geissmann, S Leucci, CH Liu, P Penna - Theory of Computing Systems, 2020 - Springer
We study the problem of sorting N elements in the presence of persistent errors in
comparisons: In this classical model, each comparison between two elements is wrong …