Talks

2023

Sensitivity Analysis with the $R^2$-Calculus

Causal inference necessarily relies upon untestable identification assumptions; hence, it is crucial to assess the robustness of …
2023-07-06 13:00 — 14:00 Okinawa Institute of Science and Technology (OIST)
Tobias Freidling, Qingyuan Zhao. --
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Sensitivity Analysis with the $R^2$-Calculus

Causal inference necessarily relies upon untestable identification assumptions; hence, it is crucial to assess the robustness of …
2023-03-14 16:00 — 17:00
Tobias Freidling, Qingyuan Zhao. --
PDF Video

2022

Sensitivity Analysis with the $R^2$-Calculus

2022-05-24 17:00 — 19:00
Tobias Freidling, Qingyuan Zhao. --
PDF

2021

Post-selection inference with HSIC-Lasso

Detecting influential features in non-linear and/or high-dimensional data is an increasingly important task in machine learning. …
2021-08-31 08:00 — 09:00
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2020

Maximum of the two-dimensional Gaussian free field

2020-11-27 14:00 — 17:00
Valeria Ambrosio, Georgios Batzolis, Philip Easo, Tobias Freidling, Joe Holey, Constantin Kogler, Simon St-Amant, Peter Wildemann. --
Slides

Predictive Rates of Neural Networks

2020-11-16 13:00 — 17:00
Louis Christie, Tobias Freidling. --
Slides