Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Statistical learning theory for control: A finite-sample perspective
Learning algorithms have become an integral component to modern engineering solutions.
Examples range from self-driving cars and recommender systems to finance and even …
Examples range from self-driving cars and recommender systems to finance and even …
Transformers as algorithms: Generalization and stability in in-context learning
In-context learning (ICL) is a type of prompting where a transformer model operates on a
sequence of (input, output) examples and performs inference on-the-fly. In this work, we …
sequence of (input, output) examples and performs inference on-the-fly. In this work, we …
Finite sample identification of bilinear dynamical systems
Bilinear dynamical systems are ubiquitous in many different domains and they can also be
used to approximate more general control-affine systems. This motivates the problem of …
used to approximate more general control-affine systems. This motivates the problem of …
Smoothed online learning for prediction in piecewise affine systems
The problem of piecewise affine (PWA) regression and planning is of foundational
importance to the study of online learning, control, and robotics, where it provides a …
importance to the study of online learning, control, and robotics, where it provides a …
Learning linear dynamics from bilinear observations
We consider the problem of learning a realization of a partially observed dynamical system
with linear state transitions and bilinear observations. Under very mild assumptions on the …
with linear state transitions and bilinear observations. Under very mild assumptions on the …
Data-driven control of markov jump systems: Sample complexity and regret bounds
Learning how to effectively control unknown dynamical systems from data is crucial for
intelligent autonomous systems. This task becomes a significant challenge when the …
intelligent autonomous systems. This task becomes a significant challenge when the …
Oracle-efficient smoothed online learning for piecewise continuous decision making
Smoothed online learning has emerged as a popular framework to mitigate the substantial
loss in statistical and computational complexity that arises when one moves from classical to …
loss in statistical and computational complexity that arises when one moves from classical to …
Optimal competitive-ratio control
Inspired by competitive policy designs approaches in online learning, new control
paradigms such as competitive-ratio and regret-optimal control have been recently …
paradigms such as competitive-ratio and regret-optimal control have been recently …
Strong consistency and rate of convergence of switched least squares system identification for autonomous markov jump linear systems
In this article, we investigate the problem of system identification for autonomous Markov
jump linear systems (MJS) with complete state observations. We propose switched least …
jump linear systems (MJS) with complete state observations. We propose switched least …
Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching
For the identification of switched systems with measured states and a measured switching
signal, this letter aims to analyze the effect of switching strategies on the estimation error …
signal, this letter aims to analyze the effect of switching strategies on the estimation error …