• Publications
  • Influence
Adaptively Learning the Crowd Kernel
TLDR
We introduce a new scale-invariant Kernel approximation model that, given n objects, learns a similarity matrix over all n2 pairs, from crowdsourced data alone. Expand
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Correcting systematic effects in a large set of photometric light curves
We suggest a new algorithm to remove systematic effects in a large set of lightcurves obtained by a photometric survey. The algorithm can remove systematic effects, like the ones associated withExpand
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The HARPS search for southern extra-solar planets. VIII. μ Arae , a system with four planets
Context. The µ Arae planetary system is fairly complex, because it contains two already known planets, µ Arae b with P = 640 days and µ Arae c with P = 9.64 days , and a third companion on a wide,Expand
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The CORALIE survey for southern extra-solar planets - XV. Discovery of two eccentric planets orbiting HD 4113 and HD 156846
We report the detection of two very eccentric planets orbiting HD 4113 and HD 156846 with the CORALIE Echelle spectrograph mounted on the 1.2-m Euler Swiss telescope at La Silla. The first planet, HDExpand
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A Machine Learning Framework for Programming by Example
TLDR
We show how machine learning can be used to speed up this seemingly hopeless search problem, by learning weights that relate textual features describing the provided input-output examples to plausible sub-components. Expand
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Efficient Bayesian Learning in Social Networks with Gaussian Estimators
TLDR
We consider a group of Bayesian agents who try to estimate a state of the world θ through interaction on a social network. Expand
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The CORALIE survey for southern extrasolar planets XVI. Discovery of a planetary system around HD 147018 and of two long period and massive planets orbiting HD 171238 and HD 204313
We report the detection of a double planetary system around HD 140718 as well as the discovery of two long period and massive planets orbiting HD 171238 and HD 204313. Those discoveries were madeExpand
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Majority dynamics and aggregation of information in social networks
TLDR
In this work, we study a simple model of voter interaction, in which voters choose an independent random opinion initially, but then modify that opinion iteratively, based on what their friends think. Expand
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Strategic Learning and the Topology of Social Networks
TLDR
We consider a group of strategic agents who must each repeatedly take one of two possible actions. Expand
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Asymptotic learning on Bayesian social networks
We study a standard model of economic agents on the nodes of a social network graph who learn a binary “state of the world” $$S$$, from initial signals, by repeatedly observing each other’s bestExpand
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