4 papers
Predictive variational inference: Learn the predictively optimal posterior distribution
Jinlin Lai, Antonio Linero, Yuling Yao
Vanilla variational inference finds an optimal approximation to the Bayesian posterior distribution, but even the exact Bayesian posterior is often not meaningful under model missp…
Inferring flavor mixtures in multijet events
Ezequiel Alvarez, Yuling Yao
Multijet events with heavy-flavors are of central importance at the LHC since many relevant processes -- such as , , and others -- have a preferred branchi…
Simulation-based stacking
Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke
Simulation-based inference has been popular for amortized Bayesian computation. It is typical to have more than one posterior approximation, from different inference algorithms, di…
Galaxy Clustering Analysis with SimBIG and the Wavelet Scattering Transform
Bruno Régaldo-Saint Blancard, ChangHoon Hahn, Shirley Ho +8
The non-Gaussisan spatial distribution of galaxies traces the large-scale structure of the Universe and therefore constitutes a prime observable to constrain cosmological parameter…