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09/07/2023
A Tutorial on the Non-Asymptotic Theory of System Identification
This tutorial serves as an introduction to recently developed non-asympt...
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05/18/2023
The noise level in linear regression with dependent data
We derive upper bounds for random design linear regression with dependen...
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12/19/2022
A note on the smallest eigenvalue of the empirical covariance of causal Gaussian processes
We present a simple proof for bounding the smallest eigenvalue of the em...
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09/12/2022
Statistical Learning Theory for Control: A Finite Sample Perspective
This tutorial survey provides an overview of recent non-asymptotic advan...
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06/16/2022
Learning with little mixing
We study square loss in a realizable time-series framework with martinga...
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06/14/2022
How are policy gradient methods affected by the limits of control?
We study stochastic policy gradient methods from the perspective of cont...
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05/27/2022
Learning to Control Linear Systems can be Hard
In this paper, we study the statistical difficulty of learning to contro...
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02/16/2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
Given a single trajectory of a dynamical system, we analyze the performa...
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01/05/2022
Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems
This paper presents local minimax regret lower bounds for adaptively con...
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11/18/2020
