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Faraz Ghahremani

2 accepted papers

2026

Active Learning for Decision Trees with Provable Guarantees

ICLR 2026poster

This paper advances the theoretical understanding of active learning label complexity for decision trees as binary classifiers. We make two main contributions. First, we provide the first analysis of the **disagreement coefficient** for decision trees—a key parameter governing active learning label…

Cited by 0SourceScholar
2026

Decision Tree Learning on Product Spaces

ICML 2026poster

Decision tree learning has long been a central topic in theoretical computer science, driven by its practical importance. A fundamental and widely used method for decision tree construction is the top-down greedy heuristic, which recursively splits on the most influential variable. Despite its empir…

Cited by 0SourceScholar