Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models
–Neural Information Processing Systems
In this paper, we present non-asymptotic optimization guarantees of gradient descent methods for estimating structured transition matrices in high-dimensional vector autoregressive (V AR) models.
Neural Information Processing Systems
Nov-15-2025, 00:41:41 GMT
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