Convex Programming for Estimation in Nonlinear Recurrent Models

Sohail Bahmani, Justin Romberg

Type: Preprint

Publication Date: 2019-01-01

Citations: 5

DOI: https://doi.org/10.48550/arxiv.1908.09915

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+ PDF Chat	Finite Sample Identification of Bilinear Dynamical Systems	2022	Yahya Sattar Samet Oymak Necmiye Özay
+	Learning nonlinear dynamical systems from a single trajectory	2020	Dylan J. Foster Alexander Rakhlin Tuhin Sarkar
+	Active Learning for Nonlinear System Identification with Guarantees.	2020	Horia Mania Michael I. Jordan Benjamin Recht
+	Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems.	2020	Yahya Sattar Samet Oymak
+	Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems	2021	Prateek Jain Suhas S Kowshik Anant Raj Praneeth Netrapalli

Works Cited by This (9)

Action	Title	Year	Authors
+	A note on analytic functions in the unit circle	1932	R. E. A. C. Paley A. Zygmund
+ PDF Chat	Finite time identification in unstable linear systems	2018	Mohamad Kazem Shirani Faradonbeh Ambuj Tewari George Michailidis
+	Introductory Lectures on Convex Optimization: A Basic Course	2014	Ю Е Нестеров
+	Near optimal finite time identification of arbitrary linear dynamical systems	2018	Tuhin Sarkar Alexander Rakhlin
+	How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network	2018	Simon S. Du Yining Wang Xiyu Zhai Sivaraman Balakrishnan Ruslan Salakhutdinov Aarti Singh
+ PDF Chat	Minimizing finite sums with the stochastic average gradient	2016	Mark Schmidt Nicolas Le Roux Francis Bach
+	Gradient Descent Learns Linear Dynamical Systems	2018	Moritz Hardt Tengyu Ma Benjamin Recht
+	Stochastic Gradient Descent Learns State Equations with Nonlinear Activations	2018	Samet Oymak
+ PDF Chat	Non-asymptotic Identification of LTI Systems from a Single Trajectory	2019	Samet Oymak Necmiye Özay