Learning with little mixing

16 June 2022

Stephen Tu

Papers citing "Learning with little mixing"

24 / 24 papers shown

Title
Nonconvex Linear System Identification with Minimal State Representation Uday Kiran Reddy Tadipatri B. Haeffele Joshua Agterberg Ingvar Ziemann René Vidal 33 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 73 0 0 24 Nov 2024
Long-Context Linear System Identification Oğuz Kaan Yüksel Mathieu Even Nicolas Flammarion 26 0 0 08 Oct 2024
On the Consistency of Kernel Methods with Dependent Observations P. Massiani Sebastian Trimpe Friedrich Solowjow 25 0 0 10 Jun 2024
Single Trajectory Conformal Prediction Brian Lee Nikolai Matni 38 2 0 03 Jun 2024
Active Learning for Control-Oriented Identification of Nonlinear Systems Bruce D. Lee Ingvar M. Ziemann George J. Pappas Nikolai Matni 29 5 0 13 Apr 2024
A least-square method for non-asymptotic identification in linear switching control Haoyuan Sun Ali Jadbabaie 34 0 0 11 Apr 2024
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method Charis J. Stamouli Ingvar M. Ziemann George J. Pappas 23 0 0 11 Apr 2024
Finite Sample Frequency Domain Identification Anastasios Tsiamis M. Abdalmoaty Roy S. Smith John Lygeros 34 0 0 01 Apr 2024
On the Performance of Empirical Risk Minimization with Smoothed Data Adam Block Alexander Rakhlin Abhishek Shetty 39 3 0 22 Feb 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 38 17 0 21 Feb 2024
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss Ingvar M. Ziemann Stephen Tu George J. Pappas Nikolai Matni 54 8 0 08 Feb 2024
A Tutorial on the Non-Asymptotic Theory of System Identification Ingvar M. Ziemann Anastasios Tsiamis Bruce D. Lee Yassir Jedra Nikolai Matni George J. Pappas 30 25 0 07 Sep 2023
Optimistic Active Exploration of Dynamical Systems Bhavya Sukhija Lenart Treven Cansu Sancaktar Sebastian Blaes Stelian Coros Andreas Krause 21 17 0 21 Jun 2023
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies Yingying Li Tianpeng Zhang Subhro Das J. Shamma Na Li 26 7 0 17 Jun 2023
The noise level in linear regression with dependent data Ingvar M. Ziemann Stephen Tu George J. Pappas Nikolai Matni 27 5 0 18 May 2023
Streaming PCA for Markovian Data Syamantak Kumar Purnamrita Sarkar 42 6 0 03 May 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning Yingcong Li M. E. Ildiz Dimitris Papailiopoulos Samet Oymak 20 152 0 17 Jan 2023
A note on the smallest eigenvalue of the empirical covariance of causal Gaussian processes Ingvar M. Ziemann 32 3 0 19 Dec 2022
Concentration Phenomenon for Random Dynamical Systems: An Operator Theoretic Approach Muhammad Naeem Miroslav Pajic 17 1 0 07 Dec 2022
Learning Nonlinear Couplings in Network of Agents from a Single Sample Trajectory Arash A. Amini Qiyu Sun N. Motee 23 0 0 20 Nov 2022
Statistical Learning Theory for Control: A Finite Sample Perspective Anastasios Tsiamis Ingvar M. Ziemann Nikolai Matni George J. Pappas 23 73 0 12 Sep 2022
Independence Testing for Temporal Data Cencheng Shen Jaewon Chung Ronak R. Mehta Ting Xu Joshua T. Vogelstein 32 5 0 18 Aug 2019
Learning without Concentration S. Mendelson 85 334 0 01 Jan 2014