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The Wasserstein Space of Stochastic Processes in Continuous Time
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2025
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Daniel Bartl
Mathias Beiglböck
Gudmund Pammer
Stefan Schrott
Xin Zhang
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Structure preservation via the Wasserstein distance
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2025
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Daniel Bartl
Shahar Mendelson
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The Wasserstein space of stochastic processes
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2024
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Daniel Bartl
Mathias Beiglböck
Gudmund Pammer
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Empirical approximation of the gaussian distribution in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:msup><mml:mrow><mml:mi mathvariant="double-struck">R</mml:mi></mml:mrow><mml:mrow><mml:mi>d</mml:mi></mml:mrow></mml:msup></mml:math>
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2024
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Daniel Bartl
Shahar Mendelson
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Optimal nonparametric estimation of the expected shortfall risk
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2024
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Daniel Bartl
Stephan Eckstein
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Numerical method for nonlinear Kolmogorov PDEs via sensitivity analysis
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2024
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Daniel Bartl
Ariel Neufeld
Kyunghyun Park
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Optimal Non-Gaussian DvoretzkyâMilman Embeddings
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2023
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Daniel Bartl
Shahar Mendelson
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Sensitivity of Multiperiod Optimization Problems with Respect to the Adapted Wasserstein Distance
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2023
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Daniel Bartl
Johannes Wiesel
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On a variance dependent Dvoretzky-Kiefer-Wolfowitz inequality
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2023
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Daniel Bartl
Shahar Mendelson
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Empirical approximation of the gaussian distribution in $\mathbb{R}^d$
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2023
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Daniel Bartl
Shahar Mendelson
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Optimal non-gaussian Dvoretzky-Milman embeddings
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2023
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Daniel Bartl
Shahar Mendelson
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Sensitivity of robust optimization problems under drift and volatility uncertainty
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2023
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Daniel Bartl
Ariel Neufeld
Kyunghyun Park
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A uniform Dvoretzky-Kiefer-Wolfowitz inequality
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2023
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Daniel Bartl
Shahar Mendelson
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Nonasymptotic Convergence Rates for the Plug-in Estimation of Risk Measures
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2022
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Daniel Bartl
Ludovic Tangpi
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On Monte-Carlo methods in convex stochastic optimization
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2022
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Daniel Bartl
Shahar Mendelson
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Random embeddings with an almost Gaussian distortion
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2022
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Daniel Bartl
Shahar Mendelson
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Marginal and Dependence Uncertainty: Bounds, Optimal Transport, and Sharpness
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2022
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Daniel Bartl
Michael Kupper
Thibaut Lux
Antonis Papapantoleon
Stephan Eckstein
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Estimating processes in adapted Wasserstein distance
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2022
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Julio BackhoffâVeraguas
Daniel Bartl
Mathias Beiglböck
Johannes Wiesel
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Sensitivity of multiperiod optimization problems in adapted Wasserstein distance
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2022
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Daniel Bartl
Johannes Wiesel
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Structure preservation via the Wasserstein distance
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2022
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Daniel Bartl
Shahar Mendelson
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Sensitivity analysis of Wasserstein distributionally robust optimization problems
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2021
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Daniel Bartl
Samuel Drapeau
Jan ObĆĂłj
Johannes Wiesel
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Random embeddings with an almost Gaussian distortion
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2021
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Daniel Bartl
Shahar Mendelson
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Duality theory for robust utility maximisation
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2021
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Daniel Bartl
Michael Kupper
Ariel Neufeld
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On Monte-Carlo methods in convex stochastic optimization
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2021
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Daniel Bartl
Shahar Mendelson
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Limits of random walks with distributionally robust transition probabilities
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2021
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Daniel Bartl
Stephan Eckstein
Michael Kupper
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Random embeddings with an almost Gaussian distortion
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2021
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Daniel Bartl
Shahar Mendelson
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On Monte-Carlo methods in convex stochastic optimization
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2021
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Daniel Bartl
Shahar Mendelson
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The Wasserstein space of stochastic processes
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2021
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Daniel Bartl
Mathias Beiglböck
Gudmund Pammer
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PDF
Chat
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All adapted topologies are equal
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2020
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Julio BackhoffâVeraguas
Daniel Bartl
Mathias Beiglböck
Manu Eder
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Limits of random walks with distributionally robust transition probabilities
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2020
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Daniel Bartl
Stephan Eckstein
Michael Kupper
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Duality Theory for Robust Utility Maximization
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2020
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Daniel Bartl
Michael Kupper
Ariel Neufeld
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Robust uncertainty sensitivity analysis
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2020
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Daniel Bartl
Samuel Drapeau
Jan ObĆĂłj
Johannes Wiesel
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Non-asymptotic rates for the estimation of risk measures
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2020
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Daniel Bartl
Ludovic Tangpi
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Estimating processes in adapted Wasserstein distance
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2020
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Julio BackhoffâVeraguas
Daniel Bartl
Mathias Beiglböck
Johannes Wiesel
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PDF
Chat
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Functional inequalities for forward and backward diffusions
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2020
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Daniel Bartl
Ludovic Tangpi
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Limits of random walks with distributionally robust transition probabilities
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2020
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Daniel Bartl
Stephan Eckstein
Michael Kupper
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Duality Theory for Robust Utility Maximisation
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2020
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Daniel Bartl
Michael Kupper
Ariel Neufeld
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Estimating processes in adapted Wasserstein distance
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2020
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Julio BackhoffâVeraguas
Daniel Bartl
Mathias Beiglböck
Johannes Wiesel
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Non-asymptotic convergence rates for the plug-in estimation of risk measures
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2020
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Daniel Bartl
Ludovic Tangpi
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PDF
Chat
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Pathwise superhedging on prediction sets
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2019
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Daniel Bartl
Michael Kupper
Ariel Neufeld
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Conditional nonlinear expectations
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2019
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Daniel Bartl
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PDF
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Computational aspects of robust optimized certainty equivalents and option pricing
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2019
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Daniel Bartl
Samuel Drapeau
Ludovic Tangpi
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Adapted Wasserstein Distances and Stability in Mathematical Finance
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2019
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Julio BackhoffâVeraguas
Daniel Bartl
Mathias Beiglböck
Manu Eder
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Stochastic integration and differential equations for typical paths
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2019
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Daniel Bartl
Michael Kupper
Ariel Neufeld
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Adapted Wasserstein Distances and Stability in Mathematical Finance
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2019
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Julio BackhoffâVeraguas
Daniel Bartl
Mathias Beiglböck
Manu Eder
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Exponential utility maximization under model uncertainty for unbounded endowments
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2018
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Daniel Bartl
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A pointwise bipolar theorem
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2018
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Daniel Bartl
Michael Kupper
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Robust expected utility maximization with medial limits
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2018
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Daniel Bartl
Patrick Cheridito
Michael Kupper
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Stochastic integration and differential equations for typical paths
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2018
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Daniel Bartl
Michael Kupper
Ariel Neufeld
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Stochastic integration and differential equations for typical paths
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2018
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Daniel Bartl
Michael Kupper
Ariel Neufeld
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Pathwise superhedging on prediction sets
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2017
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Daniel Bartl
Michael Kupper
Ariel Neufeld
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Sharpness of improved Fr\'echet-Hoeffding bounds: an optimal transport approach
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2017
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Daniel Bartl
Michael Kupper
Thibaut Lux
Antonis Papapantoleon
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Sharpness of improved Fr\'echet-Hoeffding bounds: an optimal transport approach
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2017
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Daniel Bartl
Michael Kupper
Thibaut Lux
Antonis Papapantoleon
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Computational aspects of robust optimized certainty equivalents
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2017
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Daniel Bartl
Samuel Drapeau
Ludovic Tangpi
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Computational aspects of robust optimized certainty equivalents and option pricing
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2017
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Daniel Bartl
Samuel Drapeau
Ludovic Tangpi
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Duality for pathwise superhedging in continuous time
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2017
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Daniel Bartl
Michael Kupper
David J. Prömel
Ludovic Tangpi
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Marginal and dependence uncertainty: bounds, optimal transport, and sharpness
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2017
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Daniel Bartl
Michael Kupper
Thibaut Lux
Antonis Papapantoleon
Stephan Eckstein
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Computational aspects of robust optimized certainty equivalents and option pricing
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2017
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Daniel Bartl
Samuel Drapeau
Ludovic Tangpi
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Pathwise superhedging on prediction sets
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2017
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Daniel Bartl
Michael Kupper
Ariel Neufeld
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Duality for pathwise superhedging in continuous time
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2017
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Daniel Bartl
Michael Kupper
David J. Prömel
Ludovic Tangpi
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Pointwise dual representation of dynamic convex expectations
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2016
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Daniel Bartl
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Conditional nonlinear expectations
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2016
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Daniel Bartl
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PDF
Chat
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Duality for increasing convex functionals with countably many marginal constraints
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2016
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Daniel Bartl
Patrick Cheridito
Michael Kupper
Ludovic Tangpi
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Conditional nonlinear expectations
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2016
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Daniel Bartl
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Conditional nonlinear expectations
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2016
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Daniel Bartl
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