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2020 – today
- 2024
[c5]Heiner Kremer, Bernhard Schölkopf:
Geometry-Aware Instrumental Variable Regression. ICML 2024- [i4]Heiner Kremer, Bernhard Schölkopf:
Geometry-Aware Instrumental Variable Regression. CoRR abs/2405.11633 (2024) - 2023
- [c4]Max-Olivier Van Bastelaer, Heiner Kremer, Valentin Volchkov
, Jean-Claude Passy, Bernhard Schölkopf:
Glare Removal for Astronomical Images with High Local Dynamic Range. ICCP 2023: 1-11 - [c3]Heiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu:
Estimation Beyond Data Reweighting: Kernel Method of Moments. ICML 2023: 17745-17783 - [i3]Heiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu:
Estimation Beyond Data Reweighting: Kernel Method of Moments. CoRR abs/2305.10898 (2023) - 2022
- [j1]Lars Lorch, Heiner Kremer, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez:
Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots. ACM Trans. Spatial Algorithms Syst. 8(4): 25:1-25:28 (2022) - [c2]Yassine Nemmour, Heiner Kremer, Bernhard Schölkopf, Jia-Jie Zhu:
Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee. CDC 2022: 5660-5667 - [c1]Heiner Kremer, Jia-Jie Zhu, Krikamol Muandet, Bernhard Schölkopf:
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions. ICML 2022: 11665-11682 - [i2]Yassine Nemmour, Heiner Kremer, Bernhard Schölkopf, Jia-Jie Zhu:
Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee. CoRR abs/2204.11564 (2022) - [i1]Heiner Kremer, Jia-Jie Zhu, Krikamol Muandet, Bernhard Schölkopf:
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions. CoRR abs/2207.04771 (2022)
Coauthor Index
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