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20022025
most citedMethods for Interpreting and Understanding Deep Neural Networks

2.8k citations

Showing 2014 · math.PRShow all

5 papers · 2 filters

math.PR2014

On a transformation between distributions obeying the principle of a single big jump

Hui Xu, Michael Scheutzow, Yuebao Wang

Beck et al. (2013) introduced a new distribution class J which contains many heavy-tailed and light-tailed distributions obeying the principle of a single big jump. Using a simple…

math.PR20146 cited

Stochastic programs without duality gaps for objectives without a lower bound

Ari-Pekka Perkkiö

This paper studies parameterized stochastic optimization problems in finite discrete time that arise in many applications in operations research and mathematical finance. We prove…

math.PR2014

Blow-up of a stable stochastic differential equation

Matti Leimbach, Michael Scheutzow

We examine a 2-dimensional ODE which exhibits explosion in finite time. Considered as an SDE with additive white noise, it is known to be complete - in the sense that for each init…

math.PR20147 cited

On the structure of a class of distributions obeying the principle of a single big jump

Hui Xu, Michael Scheutzow, Yuebao Wang +1

In this paper, we present several heavy-tailed distributions belonging to the new class J of distributions obeying the principle of a single big jump introduced by Beck et al. [1].…

math.PR2014

On small-noise equations with degenerate limiting system arising from volatility models

Giovanni Conforti, Stefano De Marco, Jean-Dominique Deuschel

The one-dimensional SDE with non Lipschitz diffusion coefficient is widely studied in mathematical finance. Several works…