Concept
Likelihood function
Related publications (366)
Boosting likelihood learning with event reweighting
Andrea Wulzer, Alfredo Glioti, Siyu Chen
Extracting maximal information from experimental data requires access to the likelihood function, which however is never directly available for complex experiments like those performed at high energy colliders. Theoretical predictions are obtained in this ...
Springer2024TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression
Mathieu Salzmann, Alexandre Massoud Alahi, Megh Hiren Shukla
Deep heteroscedastic regression involves jointly optimizing the mean and covariance of the predicted distribution using the negative log-likelihood. However, recent works show that this may result in sub-optimal convergence due to the challenges associated ...
2024OASIS: An integrated optimisation framework for activity scheduling
Activity-based models offer the potential for a far deeper understanding of daily mobility behaviour than trip-based models. Based on the fundamental assumption that travel demand is derived from the need to do activities, they are flexible tools that aim ...
EPFL2024Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
Bayesian Optimization (BO) is typically used to optimize an unknown function f that is noisy and costly to evaluate, by exploiting an acquisition function that must be maximized at each optimization step. Even if provably asymptotically optimal BO algorith ...
2024Recovering Static and Time-Varying Communities Using Persistent Edges
Maximilien Claude Robert Dreveton
This article focuses on spectral methods for recovering communities in temporal networks. In the case of fixed communities, spectral clustering on the simple time-aggregated graph (i.e., the weighted graph formed by the sum of the interactions over all tem ...
Ieee Computer Soc2024Inferring free-energy barriers and kinetic rates from molecular dynamics via underdamped Langevin models
Sara Bonella, Fabio Pietrucci, David Daniel Girardier
Rare events include many of the most interesting transformation processes in condensed matter, from phase transitions to biomolecular conformational changes to chemical reactions. Access to the corresponding mechanisms, free-energy landscapes and kinetic r ...
Melville2023An Unbiased Method of Measuring the Ratio of Two Data Sets
Jean-Paul Richard Kneib, Huanyuan Shan
In certain cases of astronomical data analysis, the meaningful physical quantity to extract is the ratio R between two data sets. Examples include the lensing ratio, the interloper rate in spectroscopic redshift samples, and the decay rate of gravitational ...
IOP Publishing Ltd2023Wind, Hail, and Climate Extremes: Modelling and Attribution Studies for Environmental Data
Ophélia Mireille Anna Miralles
This thesis presents work at the junction of statistics and climate science. We first provide methodology for use by climate scientists when performing fast event attribution using extreme value theory, and then describe two interdisciplinary projects in c ...
EPFL2023OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions
Michel Bierlaire, Timothy Michael Hillel, Janody Pougala
Activity-based models offer the potential of a far deeper understanding of daily mobility behaviour than trip-based models. However, activity-based models used both in research and practice have often relied on applying sequential choice models between sub ...
2023