Alternating minimization with spectral-plus-random-search initialization converges geometrically and attains near-minimax optimal estimation rates for max-affine regression when k is fixed and the design is random.
Regression analysis and empirical processes , volume 45 of CWI Tract
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation
Alternating minimization with spectral-plus-random-search initialization converges geometrically and attains near-minimax optimal estimation rates for max-affine regression when k is fixed and the design is random.