Publications associées à Bayes-optimal Learning of Deep Random Networks of Extensive-width

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Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic

In this paper, we consider the problem of sequentially optimizing a black-box function

f

based on noisy samples and bandit feedback. We assume that

f

is smooth in the sense of having a bounded norm in some reproducing kernel Hilbert space (RKHS), yield ...

2017

Bayes-optimal Learning of Deep Random Networks of Extensive-width

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Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems

Machine-learning the configurational energy of multicomponent crystalline solids

A Versatile Method for Ice Particle Habit Classification Using Airborne Imaging Probe Data

A data-driven model for the air-cooling condenser of large-scale coal-fired power plants based on data reconciliation and support vector regression

Implementing Fusion Techniques for the Classification of Paralinguistic Information

Smoothing technique for nonsmooth composite minimization with linear operator

Distributed Time Series Analytics

In Situ Calibration of Low-cost Air Quality Sensors using Artificial Neural Network

Venues in Social Media: Examining Ambiance Perception Through Scene Semantics

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

In Situ Calibration of Low-cost Air Quality Sensors using Artificial Neural Network

Distributed Time Series Analytics

Venues in Social Media: Examining Ambiance Perception Through Scene Semantics

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

A Versatile Method for Ice Particle Habit Classification Using Airborne Imaging Probe Data

A data-driven model for the air-cooling condenser of large-scale coal-fired power plants based on data reconciliation and support vector regression

Smoothing technique for nonsmooth composite minimization with linear operator

Implementing Fusion Techniques for the Classification of Paralinguistic Information

Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems

Machine-learning the configurational energy of multicomponent crystalline solids