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researcher

K. Spiliopoulos

74 papers hereh-index 305.7k citations174 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author12
  • first author5
  • middle author5
  • last author52

Across the 74 of 74 papers where every author was matched, so the position is known.

fields
  • math.PR46
  • q-fin.RM6
  • stat.ME5
  • cs.LG4
  • q-fin.MF4
  • math.DS2
same name
  • K. Spiliopoulos — 5 papers, h 0
  • K. Spiliopoulos — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20082023
most citedDGM: A deep learning algorithm for solving partial differential equations

2.3k citations · 2.7k across the 51 of their papers we have counts for

collaborators
Showing 2014 · math.PRShow all

4 papers · 2 filters

math.PR2014

Rare event simulation for multiscale diffusions in random environments

Konstantinos Spiliopoulos

We consider systems of stochastic differential equations with multiple scales and small noise and assume that the coefficients of the equations are ergodic and stationary random fi…

math.PR2014

Indifference pricing for Contingent Claims: Large Deviations Effects

Scott Robertson, Konstantinos Spiliopoulos

We study utility indifference prices and optimal purchasing quantities for a non-traded contingent claim in an incomplete semi-martingale market with vanishing hedging errors. We m…

math.PR2014

Variance reduction for irreversible Langevin samplers and diffusion on graphs

Luc Rey-Bellet, Konstantinos Spiliopoulos

In recent papers it has been demonstrated that sampling a Gibbs distribution from an appropriate time-irreversible Langevin process is, from several points of view, advantageous wh…

math.PR2014★ 69 cited

Irreversible Langevin samplers and variance reduction: a large deviation approach

Luc Rey-Bellet, Kostantinos Spiliopoulos

In order to sample from a given target distribution (often of Gibbs type), the Monte Carlo Markov chain method consists in constructing an ergodic Markov process whose invariant me…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.