Mahdi JafariRaviz — accepted AI-conference papers

2026

Matroid Algorithms Under Size-Sensitive Independence Oracles

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Mahdi JafariRaviz, Danny Mittal

ICML 2026spotlight

The standard oracle model for matroid algorithms assumes that each independence query can be answered in constant time, regardless of the size of the queried set. While this abstraction has underpinned much of the theoretical progress in matroid optimization, it masks the true computational effort r…

Cited by 0 Source ↗Scholar ↗

2026

Networked Information Aggregation for Binary Classification

MohammadHossein Bateni, Zahra Hadizadeh, MohammadTaghi Hajiaghayi, Mahdi JafariRaviz, Shayan Taherijam

ICML 2026poster

We study networked binary classification on a directed acyclic graph (DAG) where each agent observes only a subset of the feature columns of a shared finite dataset. Agents act sequentially along the DAG: each receives prediction columns from its parents (if any), augments its local features with th…

Cited by 0 Source ↗Scholar ↗