Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss

Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss

8 February 2024

Ingvar M. Ziemann

Stephen Tu

George J. Pappas

Papers citing "Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss"

8 / 8 papers shown

Title
Nonconvex Linear System Identification with Minimal State Representation Uday Kiran Reddy Tadipatri B. Haeffele Joshua Agterberg Ingvar Ziemann René Vidal 21 0 0 26 Apr 2025
Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem Hesameddin Mohammadi Mohammad Tinati Stephen Tu Mahdi Soltanolkotabi M. Jovanović 68 0 0 24 Nov 2024
A Short Information-Theoretic Analysis of Linear Auto-Regressive Learning Ingvar Ziemann 24 0 0 10 Sep 2024
Active Learning for Control-Oriented Identification of Nonlinear Systems Bruce D. Lee Ingvar M. Ziemann George J. Pappas Nikolai Matni 24 5 0 13 Apr 2024
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method Charis J. Stamouli Ingvar M. Ziemann George J. Pappas 16 0 0 11 Apr 2024
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers M. E. Ildiz Yixiao Huang Yingcong Li A. S. Rawat Samet Oymak 25 17 0 21 Feb 2024
Generalization for slowly mixing processes Andreas Maurer 24 1 0 28 Apr 2023
Learning without Concentration S. Mendelson 80 334 0 01 Jan 2014