Statistical Learning
AdversarialRegression withDoubly Non-negativeWeightingMatrices
Many machine learning tasks that involve predicting an output response can be solved by training a weighted regression model.
Convergence of Mean-field Langevin dynamics: Time-space discretization, stochastic gradient, and variance reduction Taiji Suzuki 1,2, Denny Wu
Recent works have shown that MFLD globally minimizes an entropy-regularized convex functional in the space of measures.
DistributionallyRobustLocalNon-parametric ConditionalEstimation
In order to bypass the infinite-dimensional challenge involved in directly computingψ?, we may instead consider afamily ofoptimization problems thatareparametrized byx0.
7412b6288499d68769430839b98ff1c1-Supplemental-Conference.pdf
Thus, we can integrate overY and get theη pXq.
