
Bayesian Quantile and Expectile Optimisation
Bayesian optimisation is widely used to optimise stochastic black box fu...
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A Bayesian optimization approach to find Nash equilibria
Game theory finds nowadays a broad range of applications in engineering ...
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Random Forests for Big Data
Big Data is one of the major challenges of statistical science and has n...
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A modeling approach to design a software sensor and analyze agronomical features  Application to sap flow and grape quality relationship
This work proposes a framework using temporal data and domain knowledge ...
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Recursive Bias Estimation and L_2 Boosting
This paper presents a general iterative bias correction procedure for re...
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Penultimate modeling of spatial extremes: statistical inference for maxinfinitely divisible processes
Extremevalue theory for stochastic processes has motivated the statisti...
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Evaluation of Interactive Machine Learning Systems
The evaluation of interactive machine learning systems remains a difficu...
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Extremal dependence of random scale constructions
A bivariate random vector can exhibit either asymptotic independence or ...
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Partial recovery bounds for clustering with the relaxed Kmeans
We investigate the clustering performances of the relaxed Kmeans in the ...
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Block models for multipartite networks.Applications in ecology and ethnobiology
Modeling relations between individuals is a classical question in social...
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Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms
In novel forms of the Social Internet of Things, any mobile user within ...
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Efficient Matrix Profile Computation Using Different Distance Functions
Matrix profile has been recently proposed as a promising technique to th...
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A Review on Quantile Regression for Stochastic Computer Experiments
We report on an empirical study of the main strategies for conditional q...
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The KalaiSmorodinski solution for manyobjective Bayesian optimization
An ongoing aim of research in multiobjective Bayesian optimization is to...
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Quick inference for log Gaussian Cox processes with nonstationary underlying random fields
For point patterns observed in natura, spatial heterogeneity is more the...
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Consistency and Asymptotic Normality of Stochastic Block Models Estimators from Sampled Data
Statistical analysis of network is an active research area and the liter...
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XArmed Bandits: Optimizing Quantiles and Other Risks
We propose and analyze StoROO, an algorithm for risk optimization on sto...
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Rmisstastic: a unified platform for missing values methods and workflows
Missing values are unavoidable when working with data. Their occurrence ...
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Computation Protein Design instances with small treewidth: selection based on coarse approximated 3D average position volume
This paper proposes small treewidth graph decomposition computational p...
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Applicability and Interpretability of Hierarchical Agglomerative Clustering With or Without Contiguity Constraints
Hierarchical Agglomerative Classification (HAC) with Ward's linkage has ...
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Spatiotemporal largescale networks shaped by air mass movements
The movement of atmospheric air masses can be seen as a continuous and g...
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Simulating spacetime random fields with nonseparable Gneitingtype covariance functions
Two algorithms are proposed to simulate spacetime Gaussian random field...
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Spatial hierarchical modeling of threshold exceedances using rate mixtures
We develop new flexible univariate models for lighttailed and heavytai...
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Improving Pest Monitoring Networks in order to reduce pesticide use in agriculture
Disease and pest control largely rely on pesticides use and progress sti...
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Inra
Inra France, public agronomic research, environment, food, agriculture http://www.inra.fr