2 papers
stat.ML2024
Modified Meta-Thompson Sampling for Linear Bandits and Its Bayes Regret Analysis
Hao Li, Dong Liang, Zheng Xie
Meta-learning is characterized by its ability to learn how to learn, enabling the adaptation of learning strategies across different tasks. Recent research introduced the Meta-Thom…
math.OC2024
Fast Sampling for Linear Inverse Problems of Vectors and Tensors using Multilinear Extensions
Hao Li, Dong Liang, Zixi Zhou +1
This paper studies the problem of sampling vector and tensor signals, which is the process of choosing sites in vectors and tensors to place sensors for better recovery. A small co…