Publications

• Estimation Beyond Data Reweighting: Kernel Method of Moments
  Heiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu
  International Conference on Machine Learning (ICML) 2023
  arXiv

• Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee
  Yassine Nemmour, Heiner Kremer, Bernhard Schölkopf, Jia-Jie Zhu
  IEEE Conference on Decision and Control (CDC) 2022
  arXiv

• Distributionally robust chance constrained programs using maximum mean discrepancy
  Yassine Nemmour, Heiner Kremer, Bernhard Schölkopf, Jia-Jie Zhu
  NeurIPS 2021, Safe and Robust Control of Uncertain Systems Workshop

• Adversarially Robust Kernel Smoothing
  Jia-Jie Zhu, Christina Kouridi, Yassine Nemmour, Bernhard Schölkopf
  International Conference on Artificial Intelligence and Statistics AISTATS 2022, Oral
  arXiv
• Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics
  Diego Agudelo-España, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu
  IEEE Conference on Decision and Control CDC 2022
  arXiv
• Distributional Robustness Regularized Scenario Optimization with Application to Model Predictive Control
  Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu
  Learning for Dynamics and Control L4DC 2021
  arXiv
• Reliable real-time ball tracking for robot table tennis
  Sebastian Gomez-Gonzalez, Yassine Nemmour, Bernhard Schölkopf, Jan Peters
  Robotics 2019
  mdpi