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Optimal Rates for Nonparametric Density Estimation under Communication Constraints
Estimating distributions from samples is a fundamental statistical task.
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders
Natasa Tagasovska, Damien Ackerer, Thibault Vatter
In V is isthen V C, sequential thefactT1,T2,.
Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression
Real-valued linear prediction is a fundamental problem in machine learning.
Deep Generalized Method of Moments for Instrumental Variable Analysis
Andrew Bennett, Nathan Kallus, Tobias Schnabel
Neural Information Processing Systems http://nips.cc/
OnComputingProbabilisticExplanations forDecisionTrees
For such a reason, the community has started tostudy their probabilistic counterpart, inwhich one requires that the probability ofT(z) = T(x)must beatleast some valueδ (0,1],wherez isa random instance that is compatible withy.
