ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.08539
  4. Cited By
Computation of optimal transport and related hedging problems via
  penalization and neural networks
v1v2 (latest)

Computation of optimal transport and related hedging problems via penalization and neural networks

23 February 2018
Stephan Eckstein
Michael Kupper
    OT
ArXiv (abs)PDFHTML

Papers citing "Computation of optimal transport and related hedging problems via penalization and neural networks"

12 / 12 papers shown
Improved model-free bounds for multi-asset options using option-implied
  information and deep learning
Improved model-free bounds for multi-asset options using option-implied information and deep learning
Evangelia Dragazi
Shuaiqiang Liu
A. Papapantoleon
66
0
0
02 Apr 2024
Machine learning for option pricing: an empirical investigation of network architectures
Machine learning for option pricing: an empirical investigation of network architectures
Laurens Van Mieghem
A. Papapantoleon
Jonas Papazoglou-Hennig
Jonas Papazoglou-Hennig
187
3
0
14 Jul 2023
Fitted value iteration methods for bicausal optimal transport
Fitted value iteration methods for bicausal optimal transport
Erhan Bayraktar
Bingyan Han
OT
347
10
0
22 Jun 2023
Neural networks can detect model-free static arbitrage strategies
Neural networks can detect model-free static arbitrage strategies
Ariel Neufeld
J. Sester
163
2
0
19 Jun 2023
Application of Self-Supervised Learning to MICA Model for Reconstructing
  Imperfect 3D Facial Structures
Application of Self-Supervised Learning to MICA Model for Reconstructing Imperfect 3D Facial Structures
P. D. Nguyen
Thinh D. Le
Duong Q. Nguyen
Binh Duc Nguyen
H. Nguyen-Xuan
253
1
0
08 Apr 2023
Detecting data-driven robust statistical arbitrage strategies with deep
  neural networks
Detecting data-driven robust statistical arbitrage strategies with deep neural networksSIAM Journal on Financial Mathematics (SIFIN), 2022
Ariel Neufeld
J. Sester
Daiying Yin
285
5
0
07 Mar 2022
A deep learning approach to data-driven model-free pricing and to
  martingale optimal transport
A deep learning approach to data-driven model-free pricing and to martingale optimal transportIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Ariel Neufeld
J. Sester
204
12
0
21 Mar 2021
MinMax Methods for Optimal Transport and Beyond: Regularization,
  Approximation and Numerics
MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics
L. Aquino
Stephan Eckstein
OT
232
9
0
22 Oct 2020
Deep Learning for Constrained Utility Maximisation
Deep Learning for Constrained Utility MaximisationMethodology and Computing in Applied Probability (MCAP), 2020
Ashley Davey
Harry Zheng
287
10
0
26 Aug 2020
Robust pricing and hedging via neural SDEs
Robust pricing and hedging via neural SDEsSocial Science Research Network (SSRN), 2020
Patryk Gierjatowicz
Marc Sabate Vidales
David Siska
Lukasz Szpruch
Zan Zuric
348
41
0
08 Jul 2020
A generative adversarial network approach to calibration of local
  stochastic volatility models
A generative adversarial network approach to calibration of local stochastic volatility modelsRisks (Risks), 2020
Christa Cuchiero
Wahid Khosrawi
Josef Teichmann
GAN
439
76
0
05 May 2020
Connecting GANs, MFGs, and OT
Connecting GANs, MFGs, and OTSIAM Journal on Applied Mathematics (SIAM J. Appl. Math.), 2020
Haoyang Cao
Xin Guo
Mathieu Laurière
GAN
492
14
0
10 Feb 2020
1
Page 1 of 1