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Tree-AMP: Compositional Inference with Tree Approximate Message Passing

Publications associées (42)

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Bilinear models of count data with Poisson distribution are popular in applications such as matrix factorization for recommendation systems, modeling of receptive fields of sensory neurons, and modeling of neural-spike trains. Bayesian inference in such mo ...

2014

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Learning about users’ utilities from preference, discrete choice or implicit feedback data is of integral importance in e-commerce, targeted advertising and web search. Due to the sparsity and diffuse nature of data, Bayesian approaches hold much promise, ...

2014

Entropy and order in urban street networks

Nahid Mohajeri Pour Rayeni

Many complex networks erase parts of their geometry as they develop, so that their evolution is difficult to quantify and trace. Here we introduce entropy measures for quantifying the complexity of street orientations and length variations within planar ne ...

2013

Message-Passing De-Quantization with Applications to Compressed Sensing

Ulugbek Kamilov

Estimation of a vector from quantized linear measurements is a common problem for which simple linear techniques are suboptimal—sometimes greatly so. This paper develops message-passing de-quantization (MPDQ) algorithms for minimum mean-squared error estim ...

IEEE2012

Sizing Studies for Detecting Graphical Models

Stephan Morgenthaler, Maya Shevlyakova

The ability to identify reliably a positive or negative partial correlation between the expression levels of two genes is determined by the number p of genes, the number n of analyzed samples, and the statistical properties of the measurements. Classical s ...

EPFL STAP2012

The aim of this text is to crystallize the challenges of European railway liberalization for Switzerland, as well as for the railway freight. In order to do that, I will proceed in three steps: I will first recall European railway liberalization. I will th ...

2012

Many students leave school with a fragmented understanding of biology that does not allow them to connect their ideas to their everyday lives (Wandersee, 1989; Mintzes, Wandersee, & Novak, 1998; Mintzes, Wandersee, & Novak, 2000a). Understanding evolution ...

University of California, Berkeley2011

Multi-domain Fourier-continuation/WENO hybrid solver for conservation laws

Jan Sickmann Hesthaven

We introduce a multi-domain Fourier-continuation/WENO hybrid method (FC-WENO) that enables high-order and non-oscillatory solution of systems of nonlinear conservation laws, and which enjoys essentially dispersionless, spectral character away from disconti ...

Elsevier2011

Kullback–Leibler Divergence as a Forecast Skill Score with Classic Reliability–Resolution–Uncertainty Decomposition

Steven Vincent Weijs, Nicolaas Cornelis van de Giesen

This paper presents a score that can be used for evaluating probabilistic forecasts of multicategory events. The score is a reinterpretation of the logarithmic score or ignorance score, now formulated as the relative entropy or Kullback–Leibler divergence ...

2010

Quasisteady and steady states in global gyrokinetic particle-in-cell simulations

Laurent Villard, Alberto Bottino, Sébastien Jolliet, Ben McMillan, Paolo Angelino, Thibaut Vernay

Collisionless delta-f gyrokinetic particle-in-cell simulations suffer from the entropy paradox, in which the entropy grows linearly in time while low-order moments are saturated. As a consequence, these simulations do not reach a steady state and are unsui ...

American Institute of Physics2009