Yassine Nemmour

According to our database, Yassine Nemmour authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Estimation Beyond Data Reweighting: Kernel Method of Moments.

Heiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu

Proceedings of the International Conference on Machine Learning, 2023

2022

Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee.

Yassine Nemmour, Heiner Kremer, Bernhard Schölkopf, Jia-Jie Zhu

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Learning Random Feature Dynamics for Uncertainty Quantification.

Diego Agudelo-España, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Adversarially Robust Kernel Smoothing.

Jia-Jie Zhu, Christina Kouridi, Yassine Nemmour, Bernhard Schölkopf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Distributional Robustness Regularized Scenario Optimization with Application to Model Predictive Control.

Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu

CoRR, 2021

Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics.

Diego Agudelo-España, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu

CoRR, 2021

From Majorization to Interpolation: Distributionally Robust Learning using Kernel Smoothing.

Jia-Jie Zhu, Yassine Nemmour, Bernhard Schölkopf

CoRR, 2021

Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach.

Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2019

Reliable Real-Time Ball Tracking for Robot Table Tennis.

Sebastián Gómez-González, Yassine Nemmour, Bernhard Schölkopf, Jan Peters

Robotics, 2019