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cs.LG2023
On sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery
Fateme Jamshidi, Luca Ganassali, Negar Kiyavash
Motivated by conditional independence testing, an essential step in constraint-based causal discovery algorithms, we study the nonparametric Von Mises estimator for the entropy of…
cs.LG2022
SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints
Eric Daoud, Luca Ganassali, Antoine Baker +1
For a very broad range of problems, recommendation algorithms have been increasingly used over the past decade. In most of these algorithms, the predictions are built upon user-ite…