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Bayesian optimization

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Bayesian optimization

Graph Chatbot

Chattez avec Graph Search

Monte-Carlo utility estimates for Bayesian reinforcement learning

Towards Reliable Stochastic Data-Driven Models Applied to the Energy Saving in Buildings

Robust Bayesian reinforcement learning through tight lower bounds

Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings

Advances in Fast Multistream Diarization based on the Information Bottleneck Framework

A novel statistical generative model dedicated to face recognition

Advances in Fast Multistream Diarization based on the Information Bottleneck Framework

Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods

A Novel Statistical Generative Model Dedicated To Face Recognition

Efficient Use of the Query Optimizer for Automated Database Design

Advances in Fast Multistream Diarization based on the Information Bottleneck Framework

Advances in Fast Multistream Diarization based on the Information Bottleneck Framework

Towards Reliable Stochastic Data-Driven Models Applied to the Energy Saving in Buildings

Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings

Robust Bayesian reinforcement learning through tight lower bounds

A Novel Statistical Generative Model Dedicated To Face Recognition

Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods

Efficient Use of the Query Optimizer for Automated Database Design

Monte-Carlo utility estimates for Bayesian reinforcement learning

A novel statistical generative model dedicated to face recognition