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7 papers · 1 filter
Addressing Decadal Survey Science through Community Access to Highly Multiplexed Spectroscopy with BigBOSS on the KPNO Mayall Telescope
Caty Pilachowski, Carles Badenes, Stephen Bailey +87
This document summarizes the results of a community-based discussion of the potential science impact of the Mayall+BigBOSS highly multiplexed multi-object spectroscopic capability.…
A measurement of the intrahalo light fraction with near-infrared background anisotropies
Asantha Cooray, Joseph Smidt, Francesco De Bernardis +9
Unresolved near-infrared background anisotropies are expected to have contributions from the earliest galaxies during reionization and faint, dwarf galaxies at intermediate redshif…
The Author-Topic Model for Authors and Documents
Michal Rosen-Zvi, Thomas Griffiths, Mark Steyvers +1
We introduce the author-topic model, a generative model for documents that extends Latent Dirichlet Allocation (LDA; Blei, Ng, & Jordan, 2003) to include authorship information. Ea…
Distributed Parameter Estimation via Pseudo-likelihood
Qiang Liu, Alexander Ihler
Estimating statistical models within sensor networks requires distributed algorithms, in which both data and computation are distributed across the nodes of the network. We propose…
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains
Majid Janzamin, Animashree Anandkumar
In this paper, we present a novel framework incorporating a combination of sparse models in different domains. We posit the observed data as generated from a linear combination of…
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Sungjin Ahn, Anoop Korattikara, Max Welling
In this paper we address the following question: Can we approximately sample from a Bayesian posterior distribution if we are only allowed to touch a small mini-batch of data-items…