Online computation with untrusted advice

S Angelopoulos, C Dürr, S Jin, S Kamali… - arXiv preprint arXiv …, 2019 - arxiv.org
The advice model of online computation captures the setting in which the online algorithm is
given some information concerning the request sequence. This paradigm allows to establish …

Online bin packing with predictions

S Angelopoulos, S Kamali, K Shadkami - Journal of Artificial Intelligence …, 2023 - jair.org
Bin packing is a classic optimization problem with a wide range of applications, from load
balancing to supply chain management. In this work, we study the online variant of the …

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 a hint

S Angelopoulos - Information and Computation, 2023 - Elsevier
We introduce the study of search problems, in a setting in which the searcher has some
information, or hint concerning the hiding target. In particular, we focus on one of the …

Online interval scheduling with predictions

J Boyar, LM Favrholdt, S Kamali, KS Larsen - Algorithms and Data …, 2023 - Springer
In online interval scheduling, the input is an online sequence of intervals, and the goal is to
accept a maximum number of non-overlapping intervals. In the more general disjoint path …

Online unit profit knapsack with untrusted predictions

J Boyar, LM Favrholdt, KS Larsen - arXiv preprint arXiv:2203.00285, 2022 - arxiv.org
A variant of the online knapsack problem is considered in the settings of trusted and
untrusted predictions. In Unit Profit Knapsack, the items have unit profit, and it is easy to find …

Online Unit Profit Knapsack with Predictions

J Boyar, LM Favrholdt, KS Larsen - Algorithmica, 2024 - Springer
A variant of the online knapsack problem is considered in the setting of predictions. In Unit
Profit Knapsack, the items have unit profit, ie, the goal is to pack as many items as possible …

Online computation with untrusted advice

S Angelopoulos, C Dürr, S Jin, S Kamali… - Journal of Computer and …, 2024 - Elsevier
We study a generalization of the advice complexity model of online computation in which the
advice is provided by an untrusted source. Our objective is to quantify the impact of …

[PDF][PDF] Online Conversion under Unknown Horizon: Beating 1+ ln𝜃 with a Single Trusted Query

Y CAO, H NOURMOHAMMADI, BO SUN… - J …, 2024 - learning-augmented-algorithms …
ALG (𝐼). It is obvious that a competitive ratio closer to 1 is better. For the online conversion
problem under unknown horizon, it has been shown that the best possible competitive ratio …

R\'enyi-Ulam Games and Online Computation with Imperfect Advice

S Angelopoulos, S Kamali - arXiv preprint arXiv:2301.01631, 2023 - arxiv.org
We study the nascent setting of online computation with imperfect advice, in which the online
algorithm is enhanced by some prediction encoded in the form of a possibly erroneous …