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Found 6 papers, 5 papers with code
Recovering Latent Confounders from High-dimensional Proxy Variables
Detecting latent confounders from proxy variables is an essential problem in causal effect estimation.
Improving generalisation via anchor multivariate analysis
We introduce a causal regularisation extension to anchor regression (AR) for improved out-of-distribution (OOD) generalisation.
Fun with Flags: Robust Principal Directions via Flag Manifolds
In this work, we present a unifying formalism for PCA and its variants, and introduce a framework based on the flags of linear subspaces, ie a hierarchy of nested linear subspaces of increasing dimension, which not only allows for a common implementation but also yields novel variants, not explored previously.
Featurizing Koopman Mode Decomposition
This article introduces an advanced Koopman mode decomposition (KMD) technique -- coined Featurized Koopman Mode Decomposition (FKMD) -- that uses time embedding and Mahalanobis scaling to enhance analysis and prediction of high dimensional dynamical systems.
Chordal Averaging on Flag Manifolds and Its Applications
This paper presents a new, provably-convergent algorithm for computing the flag-mean and flag-median of a set of points on a flag manifold under the chordal metric.
The Flag Median and FlagIRLS
We provide evidence that the flag median is robust to outliers and can be used effectively in algorithms like Linde-Buzo-Grey (LBG) to produce improved clusterings on Grassmannians.
