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Found 9 papers, 1 papers with code
Learning-augmented Online Minimization of Age of Information and Transmission Costs
To address this challenge, we develop a robust online algorithm to minimize the sum of transmission and staleness costs, ensuring a worst-case performance guarantee.
Model-Free Change Point Detection for Mixing Processes
In particular, we provide performance guarantees for the MMD-CUSUM test under $\alpha$, $\beta$, and $\phi$-mixing processes, which significantly expands its utility beyond the i. i. d.
Closed-Form Solutions for Grid-Forming Converters: A Design-Oriented Study
This paper derives closed-form solutions for grid-forming converters with power synchronization control (PSC) by subtly simplifying and factorizing the complex closed-loop models.
Hoeffding's Inequality for Markov Chains under Generalized Concentrability Condition
This paper studies Hoeffding's inequality for Markov chains under the generalized concentrability condition defined via integral probability metric (IPM).
How Does Data Freshness Affect Real-time Supervised Learning?
To minimize the inference error in real-time, we propose a new "selection-from-buffer" model for sending the features, which is more general than the "generate-at-will" model used in earlier studies.
A Local Geometric Interpretation of Feature Extraction in Deep Feedforward Neural Networks
In this paper, we present a local geometric analysis to interpret how deep feedforward neural networks extract low-dimensional features from high-dimensional data.
The Age of Correlated Features in Supervised Learning based Forecasting
In these applications, a neural network is trained to predict a time-varying target (e. g., solar power), based on multiple correlated features (e. g., temperature, humidity, and cloud coverage).
Low-Power Status Updates via Sleep-Wake Scheduling
We devise a low-complexity solution to solve this problem and prove that, for practical sensing times that are short, the solution is within a small gap from the optimum AoI performance.
Information Theory Information Theory
Multi-Armed Bandits with Dependent Arms
We study a variant of the classical multi-armed bandit problem (MABP) which we call as Multi-Armed Bandits with dependent arms.
