1 code implementation • 18 May 2023 • Heiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu
We provide a variant of our estimator for conditional moment restrictions and show that it is asymptotically first-order optimal for such problems.
1 code implementation • 11 Jul 2022 • Heiner Kremer, Jia-Jie Zhu, Krikamol Muandet, Bernhard Schölkopf
Important problems in causal inference, economics, and, more generally, robust machine learning can be expressed as conditional moment restrictions, but estimation becomes challenging as it requires solving a continuum of unconditional moment restrictions.
no code implementations • 1 Jan 2021 • Lennart Schlieder, Heiner Kremer, Valentin Volchkov, Kai Melde, Peer Fischer, Bernhard Schölkopf
Instead of an iterative optimization algorithm that converges to a (sub-)optimal solution, the inverse problem can be solved by training a neural network to directly estimate the inverse operator.
2 code implementations • 15 Apr 2020 • Lars Lorch, Heiner Kremer, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Multiple lines of evidence strongly suggest that infection hotspots, where a single individual infects many others, play a key role in the transmission dynamics of COVID-19.