8 citations · 12 across the 9 of their papers we have counts for
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cs.LG2021
Causal Inference Despite Limited Global Confounding via Mixture Models
Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani +1
A Bayesian Network is a directed acyclic graph (DAG) on a set of random variables (the vertices); a Bayesian Network Distribution (BND) is a probability distribution on the ran…
cs.DM2021
On the computational equivalence of co-NP refutations of a matrix being a P-matrix
Spencer Gordon, Kevin Shu
A P-matrix is a square matrix such that all principal submatrices of have positive determinant. Such matrices appear naturally in instances of the linear complementarity pr…
cs.LG2021
Hadamard Extensions and the Identification of Mixtures of Product Distributions
Spencer L. Gordon, Leonard J. Schulman
The Hadamard Extension of a matrix is the matrix consisting of all Hadamard products of subsets of its rows. This construction arises in the context of identifying a mixture of pro…