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most citedA Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering

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stat.ML2025

Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals

Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer

Importance sampling is a Monte Carlo technique for efficiently estimating the likelihood of rare events by biasing the sampling distribution towards the rare event of interest. By…