Jia-Jie Zhu
According to our database1,
Jia-Jie Zhu
authored at least 24 papers
between 2017 and 2024.
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Bibliography
2024
An Inexact Halpern Iteration with Application to Distributionally Robust Optimization.
CoRR, 2024
2023
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions.
Proceedings of the International Conference on Machine Learning, 2022
Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Distributional Robustness Regularized Scenario Optimization with Application to Model Predictive Control.
CoRR, 2021
Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics.
CoRR, 2021
Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions.
CoRR, 2021
From Majorization to Interpolation: Distributionally Robust Learning using Kernel Smoothing.
CoRR, 2021
Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming.
CoRR, 2019
Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control.
CoRR, 2019
Trajectory Optimization for Robust Humanoid Locomotion with Sample-Efficient Learning.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019
2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017