Publications related to Gibbs sampling

Active Learning of Self-concordant like Multi-index Functions

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic

We study the problem of actively learning a multi-index function of the form f (x) = g_0 (A_0 x) from its point evaluations, where A_0 ∈ R_{k×d} with k ≪ d. We build on the assumptions and techniques of an existing approach based on low-rank matrix recover ...

2015

Summary of the Test Results of ITER Conductors in SULTAN

Pierluigi Bruzzone, Kamil Sedlák, Boris Stepanov

Abstract. After completing the qualification tests of the ITER cable-in-conduit conductors (CICC), the tests of samples from the series manufacture are running in the SULTAN test facility in Villigen, Switzerland. The key test for the conductor samples is ...

2014

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

Michaël Unser, John Paul Ward, Hagay Kirshner

In this work, we investigate the relationship between continuous-time autoregressive (AR) models and their sampled version. We consider uniform sampling and derive criteria for uniquely determining the continuous-time parameters from sampled data; the mode ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Finger Probe Array for Topography-Tolerant Scanning Electrochemical Microscopy of Extended Samples

Hubert Girault, Andreas Stephan Lesch, Fernando Cortes Salazar, Dmitry Momotenko, Gunther Wittstock

Scanning electrochemical microscopy with soft microelectrode array probes has recently been used to enable reactivity imaging of extended areas and to compensate sample corrugation perpendicular to the scanning direction. Here, the use of a new type of mic ...

Amer Chemical Soc2014

Sliced inverse regression for survival data

Stephan Morgenthaler, Maya Shevlyakova

We apply the univariate sliced inverse regression to survival data. Our approach is different from the other papers on this subject. The right-censored observations are taken into account during the slicing of the survival times by assigning each of them w ...

Springer Verlag2014

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

We consider the previously unsolved problem of sampling paths according to a given distribution from a general network. The problem is difficult because of the combinatorial number of alternatives, which prohibits a complete enumeration of all paths and he ...

2013

What are the Odds? Probabilistic programming in Scala

Tiark Rompf, Nada Amin, Sandro Stucki, Manohar Jonnalagedda

Probabilistic programming is a powerful high-level paradigm for probabilistic modeling and inference. We present Odds, a small domain-specific language (DSL) for probabilistic programming, embedded in Scala. Odds provides first-class support for random var ...

ACM2013

Role of sampling in evaluating classical time autocorrelation functions

Jiri Vanicek, Tomas Zimmermann

We analyze how the choice of the sampling weight affects efficiency of the Monte Carlo evaluation of classical time autocorrelation functions. Assuming uncorrelated sampling or sampling with constant correlation length, we propose a sampling weight for whi ...

American Institute of Physics2013

Linear Bayesian Reinforcement Learning

Christos Dimitrakakis, Nikolaos Tziortziotis

This paper proposes a simple linear Bayesian approach to reinforcement learning. We show that with an appropriate basis, a Bayesian linear Gaussian model is sufficient for accurately estimating the system dynamics, and in particular when we allow for corre ...

2013

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Gibbs sampling

Active Learning of Self-concordant like Multi-index Functions

Two-stage online inference model for traffic pattern analysis and anomaly detection

Summary of the Test Results of ITER Conductors in SULTAN

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

Finger Probe Array for Topography-Tolerant Scanning Electrochemical Microscopy of Extended Samples

Sliced inverse regression for survival data

Metropolis-Hastings sampling of paths

What are the Odds? Probabilistic programming in Scala

Role of sampling in evaluating classical time autocorrelation functions

Linear Bayesian Reinforcement Learning

Graph Chatbot

Chat with Graph Search

Finger Probe Array for Topography-Tolerant Scanning Electrochemical Microscopy of Extended Samples

Metropolis-Hastings sampling of paths

Summary of the Test Results of ITER Conductors in SULTAN

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

Two-stage online inference model for traffic pattern analysis and anomaly detection

Sliced inverse regression for survival data

What are the Odds? Probabilistic programming in Scala

Role of sampling in evaluating classical time autocorrelation functions

Active Learning of Self-concordant like Multi-index Functions

Linear Bayesian Reinforcement Learning