Publications

Here you can find a collection of my recent works. Check out my Google scholar for a comprehensive list of publications.

Robust Machine Learning and Causal Inference

• Geometry-Aware Instrumental Variable Regression
  H. Kremer, B. Schölkopf
  International Conference on Machine Learning (ICML) 2024
• Estimation Beyond Data Reweighting: Kernel Method of Moments
  H. Kremer, Y. Nemmour, B. Schölkopf, J. Zhu
  International Conference on Machine Learning (ICML) 2023
• Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
  H. Kremer, J. Zhu, K. Muandet, B. Schölkopf
  International Conference on Machine Learning (ICML) 2022
• Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee
  Y. Nemmour$^\ast$, H. Kremer$^\ast$, B. Schölkopf, J. Zhu ($^\ast$equal contribution)
  Conference on Decision and Control (CDC) 2022

Inverse Problems in Holography and Photography

• Compact Holographic Sound Fields Enable Rapid One-step Assembly of Matter in 3D
  K. Melde, H. Kremer, M. Shi, S. Seneca, C. Frey, I. Platzman, C. Degel, D. Schmitt, B. Schölkopf, P. Fischer
  Science Advances (2023)
• Non-Blind Glare-Removal for HDR Photography
  M. van Bastelaer, H. Kremer, V. Volchkov, B. Schölkopf
  International Conference on Computational Photography (ICCP) 2023

Epidemiological Modelling with Temporal Point Processes

• Listening to Bluetooth Beacons for Epidemic Risk Mitigation
  G. Barthe, R. De Viti, P. Druschel, D. Garg, M. Gomez-Rodriguez, P. Ingo, H. Kremer, M. Lentz, L. Lorch, A. Mehta, B. Schölkopf (author order alphabetical)
  Scientific Reports (2022)
• Quantifying the effects of contact tracing, testing, and containment measures in the presence of infection hotspots
  L. Lorch, H. Kremer, W. Trouleau, S. Tsirtsis, A. Szanto, B. Schölkopf, M. Gomez-Rodriguez
  ACM Transactions on Spatial Systems and Algorithms (2022)