32 citations · 107 across the 13 of their papers we have counts for
13 papers
Conformalization of Sparse Generalized Linear Models
Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo
Given a sequence of observable variables , the conformal prediction method estimates a confidence set for given that is vali…
Learning Elastic Costs to Shape Monge Displacements
Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin +3
Given a source and a target probability measure supported on , the Monge problem asks to find the most efficient way to map one distribution to the other. This effici…
A Confidence Machine for Sparse High-Order Interaction Model
Diptesh Das, Eugene Ndiaye, Ichiro Takeuchi
In predictive modeling for high-stake decision-making, predictors must be not only accurate but also reliable. Conformal prediction (CP) is a promising approach for obtaining the c…
Continuation Path with Linear Convergence Rate
Eugene Ndiaye, Ichiro Takeuchi
Path-following algorithms are frequently used in composite optimization problems where a series of subproblems, with varying regularization hyperparameters, are solved sequentially…
Stable Conformal Prediction Sets
Eugene Ndiaye
When one observes a sequence of variables , Conformal Prediction (CP) is a methodology that allows to estimate a confidence set for given…
Root-finding Approaches for Computing Conformal Prediction Set
Eugene Ndiaye, Ichiro Takeuchi
Conformal prediction constructs a confidence set for an unobserved response of a feature vector based on previous identically distributed and exchangeable observations of responses…