Patrick Jaillet

Learning Structure in Nested Logit Models

2020 · arXiv (Cornell University)

This paper introduces a new data-driven methodology for nested logit structure discovery. Nested logit models allow the modeling of positive correlations between the error terms of the utility specifications of the different alternatives in a …

An Information-Theoretic Framework for Unifying Active Learning Problems

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

This paper presents an information-theoretic framework for unifying active learning problems: level set estimation (LSE), Bayesian optimization (BO), and their generalized variant. We first introduce a novel active learning criterion that subsumes an existing LSE …

An Information-Theoretic Framework for Unifying Active Learning Problems

2020 · arXiv (Cornell University)

This paper presents an information-theoretic framework for unifying active learning problems: level set estimation (LSE), Bayesian optimization (BO), and their generalized variant. We first introduce a novel active learning criterion that subsumes an existing LSE …