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43 papers · 1 filter
Scalable Gaussian Process Classification via Expectation Propagation
Daniel Hernández-Lobato, José Miguel Hernández-Lobato
Variational methods have been recently considered for scaling the training process of Gaussian process classifiers to large datasets. As an alternative, we describe here how to tra…
Measurement of the production and differential cross sections of bosons in association with jets in collisions at TeV
CDF Collaboration, T. Aaltonen, S. Amerio +400
We present a measurement of the -boson-pair production cross section in collisions at 1.96 TeV center-of-mass energy and the first measurement of the differential cro…
Lord of the Rings: A Kinematic Distance to Circinus X-1 from a Giant X-Ray Light Echo
Sebastian Heinz, Michael G. Burton, Catherine Braiding +6
Circinus X-1 exhibited a bright X-ray flare in late 2013. Follow-up observations with Chandra and XMM-Newton from 40 to 80 days after the flare reveal a bright X-ray light echo in…
An Open Science Platform for the Next Generation of Data
Latanya Sweeney, Merce Crosas
Imagine an online work environment where researchers have direct and immediate access to myriad data sources and tools and data management resources, useful throughout the research…
Computational Extensive-Form Games
Joseph Y. Halpern, Rafael Pass, Lior Seeman
We define solution concepts appropriate for computationally bounded players playing a fixed finite game. To do so, we need to define what it means for a \emph{computational game},…
Celeste: Variational inference for a generative model of astronomical images
Jeffrey Regier, Andrew Miller, Jon McAuliffe +5
We present a new, fully generative model of optical telescope image sets, along with a variational procedure for inference. Each pixel intensity is treated as a Poisson random vari…