David Siska

Orcid: 0000-0002-3474-5719

According to our database1, David Siska authored at least 15 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Mirror Descent for Stochastic Control Problems with Measure-valued Controls.
CoRR, 2024

2023
A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces.
CoRR, 2023

Inefficiency of CFMs: Hedging Perspective and Agent-Based Simulations.
Proceedings of the Financial Cryptography and Data Security. FC 2023 International Workshops, 2023

2022
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime.
Proceedings of the International Conference on Machine Learning, 2022

The Case for Variable Fees in Constant Product Markets: An Agent Based Simulation.
Proceedings of the Financial Cryptography and Data Security. FC 2022 International Workshops, 2022

2021
Market Based Mechanisms for Incentivising Exchange Liquidity Provision.
Proceedings of the Financial Cryptography and Data Security. FC 2021 International Workshops, 2021

2020
Exponential Convergence and Stability of Howard's Policy Improvement Algorithm for Controlled Diffusions.
SIAM J. Control. Optim., 2020

Robust pricing and hedging via neural SDEs.
CoRR, 2020

Gradient Flows for Regularized Stochastic Control Problems.
CoRR, 2020

2019
Uniform error estimates for artificial neural network approximations for heat equations.
CoRR, 2019

2018
Martingale Functional Control variates via Deep Learning.
CoRR, 2018

2015
On a Full Discretisation for Nonlinear Second-Order Evolution Equations with Monotone Damping: Construction, Convergence, and Error Estimates.
Found. Comput. Math., 2015

2012
Error Estimates for Approximations of American Put Option Price.
Comput. Methods Appl. Math., 2012

2011
Error estimates for finite difference approximations of American put option price
CoRR, 2011

Full discretisation of second-order nonlinear evolution equations: strong convergence and applications.
Comput. Methods Appl. Math., 2011


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