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math.OC2022★ 7 cited
Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum
Mengqi Hu, Yifei Lou, Bao Wang +3
This paper applies an idea of adaptive momentum for the nonlinear conjugate gradient to accelerate optimization problems in sparse recovery. Specifically, we consider two types of…
cs.LG2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows
Difeng Cai, Yuliang Ji, Huan He +2
Nonlinear monotone transformations are used extensively in normalizing flows to construct invertible triangular mappings from simple distributions to complex ones. In existing lite…