57 citations · 110 across the 10 of their papers we have counts for
4 papers · 1 filter
Causal Learning via Manifold Regularization
Steven M. Hill, Chris. J. Oates, Duncan A. Blythe +1
This paper frames causal structure estimation as a machine learning task. The idea is to treat indicators of causal relationships between variables as `labels' and to exploit avail…
Algebraic-Combinatorial Methods for Low-Rank Matrix Completion with Application to Athletic Performance Prediction
Duncan A. J. Blythe, Louis Theran, Franz Kiraly
This paper presents novel algorithms which exploit the intrinsic algebraic and combinatorial structure of the matrix completion task for estimating missing en- tries in the general…
Regression for sets of polynomial equations
Franz Johannes Király, Paul von Bünau, Jan Saputra Müller +3
We propose a method called ideal regression for approximating an arbitrary system of polynomial equations by a system of a particular type. Using techniques from approximate comput…
Algebraic Geometric Comparison of Probability Distributions
Franz J. Kiraly, Paul von Buenau, Frank C. Meinecke +2
We propose a novel algebraic framework for treating probability distributions represented by their cumulants such as the mean and covariance matrix. As an example, we consider the…