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0111 · Oct 202419922001200920172026
2 results for quasiprobabilistic

We develop a new loss function for estimating quasiprobabilistic density ratios.

problem Discontinuous or non-surjective relationships between optimal classifiers and target densities.
method Introduce a convex loss function compatible with both probabilistic and quasiprobabilistic densities.
result Achieve state-of-the-art results in estimating di-Higgs production in particle physics.

Novel neural likelihood ratio estimation for negative data in particle physics.

problem Estimating likelihood ratios with negative probability densities and weights.
method Introducing a novel loss function and a new model architecture based on signed mixture models.
result Demonstrated improved estimation on a real-world example from particle physics.