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Houman Owhadi

2 accepted papers

2025

Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models

ICLR 2025poster

Whether deterministic or stochastic, models can be viewed as functions designed to approximate a specific quantity of interest. We introduce Minimal Empirical Variance Aggregation (MEVA), a data-driven framework that integrates predictions from various models, enhancing overall accuracy by leveragi…

2025

Toward Efficient Kernel-Based Solvers for Nonlinear PDEs

ICML 2025poster

We introduce a novel kernel learning framework toward efficiently solving nonlinear partial differential equations (PDEs). In contrast to the state-of-the-art kernel solver that embeds differential operators within kernels, posing challenges with a large number of collocation points, our approach el…

Cited by 1SourcePDFScholar