28 citations · 33 across the 7 of their papers we have counts for
4 papers · 1 filter
Interpolation and Regularization for Causal Learning
Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg +1
We study the problem of learning causal models from observational data through the lens of interpolation and its counterpart -- regularization. A large volume of recent theoretical…
On the optimality of kernels for high-dimensional clustering
Leena Chennuru Vankadara, Debarghya Ghoshdastidar
This paper studies the optimality of kernel methods in high-dimensional data clustering. Recent works have studied the large sample performance of kernel clustering in the high-dim…
Practical methods for graph two-sample testing
Debarghya Ghoshdastidar, Ulrike von Luxburg
Hypothesis testing for graphs has been an important tool in applied research fields for more than two decades, and still remains a challenging problem as one often needs to draw in…
Foundations of Comparison-Based Hierarchical Clustering
Debarghya Ghoshdastidar, Michaël Perrot, Ulrike von Luxburg
We address the classical problem of hierarchical clustering, but in a framework where one does not have access to a representation of the objects or their pairwise similarities. In…