Statistical Learning Theory for Control: A Finite Sample Perspective

12 September 2022

George J. Pappas

Papers citing "Statistical Learning Theory for Control: A Finite Sample Perspective"

45 / 45 papers shown

Title
Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise Vinay Kanakeri Aritra Mitra 17 0 0 25 Apr 2025
Subgradient Method for System Identification with Non-Smooth Objectives Baturalp Yalcin Javad Lavaei 32 0 0 20 Mar 2025
A finite-sample bound for identifying partially observed linear switched systems from a single trajectory Daniel Racz M. Petreczky Bálint Daróczy 48 0 0 17 Mar 2025
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update Jing Wang Yu-Jie Zhang Peng Zhao Zhi-Hua Zhou 51 0 0 01 Mar 2025
Long-Context Linear System Identification Oğuz Kaan Yüksel Mathieu Even Nicolas Flammarion 16 0 0 08 Oct 2024
Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression Szabolcs Szentpéteri Balázs Csanád Csáji 19 0 0 13 Sep 2024
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy V. Deshmukh 57 13 0 31 Aug 2024
Exact Recovery Guarantees for Parameterized Nonlinear System Identification Problem under Sparse Disturbances or Semi-Oblivious Attacks Haixiang Zhang Baturalp Yalcin Javad Lavaei Eduardo Sontag AAML 36 1 0 30 Aug 2024
Causal Learning in Biomedical Applications Petr Rysavý Xiaoyu He Jakub Marecek CML 30 0 0 21 Jun 2024
Single Trajectory Conformal Prediction Brian Lee Nikolai Matni 38 2 0 03 Jun 2024
A finite-sample generalization bound for stable LPV systems Daniel Racz Martin Gonzalez M. Petreczky András A. Benczúr Bálint Daróczy 16 0 0 16 May 2024
Active Learning for Control-Oriented Identification of Nonlinear Systems Bruce D. Lee Ingvar M. Ziemann George J. Pappas Nikolai Matni 16 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
Finite Sample Frequency Domain Identification Anastasios Tsiamis M. Abdalmoaty Roy S. Smith John Lygeros 18 0 0 01 Apr 2024
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile Jérémie Bigot Issa-Mbenard Dabo Camille Male 24 4 0 29 Mar 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 14 17 0 21 Feb 2024
Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version) A. Carè E. Weyer Balázs Cs. Csáji M. Campi 11 0 0 18 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 36 8 0 08 Feb 2024
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification Bruce D. Lee Anders Rantzer Nikolai Matni 14 6 0 29 Dec 2023
Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems Simon Kuang Xinfan Lin 15 0 0 08 Dec 2023
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms Xiangyuan Zhang Weichao Mao S. Mowlavi M. Benosman Tamer Basar OffRL AI4CE 19 2 0 30 Nov 2023
Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with Additive Exploration Archith Athrey Othmane Mazhar Meichen Guo B. de Schutter Shengling Shi 14 1 0 05 Nov 2023
From Spectral Theorem to Statistical Independence with Application to System Identification Muhammad Naeem Amir Khazraei Miroslav Pajic 14 1 0 16 Oct 2023
Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis Yingying Li Jing Yu Lauren Conger Taylan Kargin Adam Wierman 19 5 0 26 Sep 2023
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 17 25 0 07 Sep 2023
Preserving Topology of Network Systems: Metric, Analysis, and Optimal Design Yushan Li Zitong Wang Jianping He Cailian Chen X. Guan 10 0 0 31 Jul 2023
The noise level in linear regression with dependent data Ingvar M. Ziemann Stephen Tu George J. Pappas Nikolai Matni 19 5 0 18 May 2023
Exact Recovery for System Identification with More Corrupt Data than Clean Data Baturalp Yalcin Haixiang Zhang Javad Lavaei Murat Arcak 17 5 0 17 May 2023
Learning and Concentration for High Dimensional Linear Gaussians: an Invariant Subspace Approach Muhammad Naeem 11 2 0 04 Apr 2023
Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints Seth Siriya Jing Zhu D. Nešić Ye Pu 6 0 0 02 Apr 2023
Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making Adam Block Alexander Rakhlin Max Simchowitz 21 4 0 10 Feb 2023
Smoothed Online Learning for Prediction in Piecewise Affine Systems Adam Block Max Simchowitz Russ Tedrake 19 12 0 26 Jan 2023
A New Approach to Learning Linear Dynamical Systems Ainesh Bakshi Allen Liu Ankur Moitra Morris Yau 14 14 0 23 Jan 2023
Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control Shengli Shi Anastasios Tsiamis B. de Schutter 10 2 0 19 Jan 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning Yingcong Li M. E. Ildiz Dimitris Papailiopoulos Samet Oymak 13 151 0 17 Jan 2023
A note on the smallest eigenvalue of the empirical covariance of causal Gaussian processes Ingvar M. Ziemann 17 3 0 19 Dec 2022
FedSysID: A Federated Approach to Sample-Efficient System Identification Han Wang Leonardo F. Toso James Anderson FedML 13 17 0 25 Nov 2022
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies Bin Hu K. Zhang Na Li M. Mesbahi Maryam Fazel Tamer Bacsar 71 27 0 10 Oct 2022
Strong Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Markov Jump Linear Systems Borna Sayedana Mohammad Afshari P. Caines Aditya Mahajan 10 7 0 20 Dec 2021
Stabilizing Dynamical Systems via Policy Gradient Methods Juan C. Perdomo Jack Umenberger Max Simchowitz 19 44 0 13 Oct 2021
Minimal Expected Regret in Linear Quadratic Control Yassir Jedra Alexandre Proutière OffRL 27 17 0 29 Sep 2021
On the Sample Complexity of Stability Constrained Imitation Learning Stephen Tu Alexander Robey Tingnan Zhang Nikolai Matni 41 38 0 18 Feb 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 119 1,194 0 16 Aug 2016
Learning without Concentration for General Loss Functions S. Mendelson 55 65 0 13 Oct 2014
Learning without Concentration S. Mendelson 78 334 0 01 Jan 2014