3 papers
cs.LG2024
Benign Overfitting for Regression with Trained Two-Layer ReLU Networks
Junhyung Park, Patrick Bloebaum, Shiva Prasad Kasiviswanathan
We study the least-square regression problem with a two-layer fully-connected neural network, with ReLU activation function, trained by gradient flow. Our first result is a general…
stat.ML2024
Score matching through the roof: linear, nonlinear, and latent variables causal discovery
Francesco Montagna, Philipp M. Faller, Patrick Bloebaum +2
Causal discovery from observational data holds great promise, but existing methods rely on strong assumptions about the underlying causal structure, often requiring full observabil…
stat.ME2021
Why did the distribution change?
Kailash Budhathoki, Dominik Janzing, Patrick Bloebaum +1
We describe a formal approach based on graphical causal models to identify the "root causes" of the change in the probability distribution of variables. After factorizing the joint…