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Found 4 papers, 1 papers with code
On the nonconvexity of some push-forward constraints and its consequences in machine learning
The push-forward operation enables one to redistribute a probability measure through a deterministic map.
Liquid Democracy. Two Experiments on Delegation in Voting
In addition, subjects substantially overestimate the precision of the better informed voters, underlining that Liquid Democracy is fragile to multiple sources of noise.
GAN Estimation of Lipschitz Optimal Transport Maps
This paper introduces the first statistically consistent estimator of the optimal transport map between two probability distributions, based on neural networks.
Transport-based Counterfactual Models
We address the problem of designing realistic and feasible counterfactuals in the absence of a causal model.
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