Reliable Real-Time Ball Tracking for Robot Table Tennis. - Sebastián Gómez-González; Yassine Nemmour; Bernhard Schölkopf; Jan Peters 001 (Robotics, 2019)

Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach. - Yassine Nemmour; Bernhard Schölkopf; Jia-Jie Zhu (L4DC, 2021)

From Majorization to Interpolation: Distributionally Robust Learning using Kernel Smoothing. - Jia-Jie Zhu; Yassine Nemmour; Bernhard Schölkopf (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)

Distributional Robustness Regularized Scenario Optimization with Application to Model Predictive Control. - Yassine Nemmour; Bernhard Schölkopf; Jia-Jie Zhu (CoRR, 2021)

Adversarially Robust Kernel Smoothing. - Jia-Jie Zhu; Christina Kouridi; Yassine Nemmour; Bernhard Schölkopf (AISTATS, 2022)

Learning Random Feature Dynamics for Uncertainty Quantification. - Diego Agudelo-España; Yassine Nemmour; Bernhard Schölkopf; Jia-Jie Zhu (CDC, 2022)

Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee. - Yassine Nemmour; Heiner Kremer; Bernhard Schölkopf; Jia-Jie Zhu (CDC, 2022)

Estimation Beyond Data Reweighting: Kernel Method of Moments. - Heiner Kremer; Yassine Nemmour; Bernhard Schölkopf; Jia-Jie Zhu (ICML, 2023)