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2004.00166
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Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem
IEEE Conference on Decision and Control (CDC), 2020
31 March 2020
Jia Jie Zhu
Wittawat Jitkrittum
Moritz Diehl
Bernhard Schölkopf
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Papers citing
"Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem"
4 / 4 papers shown
A Convex Framework for Confounding Robust Inference
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Naio He
Takafumi Kanamori
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336
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21 Sep 2023
Kernel Conditional Moment Constraints for Confounding Robust Inference
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Kei Ishikawa
Niao He
OffRL
265
3
0
26 Feb 2023
Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative Entropy Trust-Regions
Hany Abdulsamad
T. Dorau
Boris Belousov
Jia Jie Zhu
Jan Peters
232
3
0
29 Mar 2021
Kernel Distributionally Robust Optimization
Jia Jie Zhu
Wittawat Jitkrittum
Moritz Diehl
Bernhard Schölkopf
456
16
0
12 Jun 2020
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