Publications associées à Upper bounds for the reach-avoid probability via robust optimization

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Partial Recovery Bounds for the Sparse Stochastic Block Model

Volkan Cevher, Jonathan Mark Scarlett

In this paper, we study the information-theoretic limits of community detection in the symmetric two-community stochastic block model, with intra-community and inter-community edge probabilities

\frac{a}{n}

and

\frac{b}{n}

respectively. We consider the ...

Ieee2016

Upper bounds for the reach-avoid probability via robust optimization

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Distributed Optimization and Control using Operator Splitting Methods

Content Based Status Updates

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Dimensionality Reduction in Dynamic Optimization under Uncertainty

MATHICSE Technical Report : Dimensionality reduction of parameter-dependent problems through proper orthogonal decomposition

Solving Stochastic AC Power Flow via Polynomial Chaos Expansion

Numerical methods for random and stochastic partial differential equations

Partial Recovery Bounds for the Sparse Stochastic Block Model

Stabilized Numerical Methods for Stochastic Differential Equations driven by Diffusion and Jump-Diffusion Processes

On the Use of Transient Information for Static Real-Time Optimization

On the Use of Transient Information for Static Real-Time Optimization

Solving Stochastic AC Power Flow via Polynomial Chaos Expansion

Dimensionality Reduction in Dynamic Optimization under Uncertainty

Distributed Optimization and Control using Operator Splitting Methods

Content Based Status Updates

Numerical methods for random and stochastic partial differential equations

Content Based Status Updates

MATHICSE Technical Report : Dimensionality reduction of parameter-dependent problems through proper orthogonal decomposition

Partial Recovery Bounds for the Sparse Stochastic Block Model

Stabilized Numerical Methods for Stochastic Differential Equations driven by Diffusion and Jump-Diffusion Processes