Fluctuations of random convex interfaces
We consider the convex hull of a point set constituted with independent and uniformly distributed points in a smooth convex body K of R^d.
Mon compte
Pas encore inscrit ?
We consider the convex hull of a point set constituted with independent and uniformly distributed points in a smooth convex body K of R^d.
I will survey recent and less recent results on the phase diagram of Euclidean Random Assignment Problems (ERAPs)...
Random forests are a popular class of algorithms used for regression and classification.
This is a joint work with Agnes Backhausz et Balasz Szegedy. We define a natural notion of micro-state entropy...
Neural computations arising from myriads of interactions between spiking neurons can be modeled as network dynamics with punctuate interactions.
Many modern data sources arising from social networks, biological data, etc. are best viewed...
A major breakthrough in the theory of negatively dependent – i.e., repulsive – probability measure...
Fluid approximation often provide a good tool to study a stochastic process.
It is known that the size of the largest common subtree...
A Markov decision process is called reversible if for every stationary Markov control strategy the resulting Markov chain is reversible.
The uniform measure on the set of all spanning trees of a finite graph is a classical object in probability.
Regularization is a widespread technique used in statistical estimation problems that helps to capture low dimensional structure in the data and improve signal recovery.