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20082026
most citedDistributed Learning in Multi-Armed Bandit with Multiple Players

403 citations · 479 across the 18 of their papers we have counts for

collaborators

18 papers

cs.LG2026

From Relaxed Indexability to Exact Indexability: A -Step Approach for Partially Observable Restless Bandits

Keqin Liu, Qizhen Jia

Whittle index policies offer a scalable method for restless multi-armed bandits, but under partial observability even determining the indifference subsidy at a single belief requir…

cs.LG2026

Nonlinear Bandit

Tianshuo Zheng, Ting Wu, Zhi-Hua Zhou +1

In this paper we first study the problem of generalized linear bandit (GLB) under heavy-tailed noise. The characteristics of heavy-tailed distributions are widely observed in real-…

math.NT2024

On a determinant involving linear combinations of Legendre symbols

Keqin Liu, Zhi-Wei Sun, Li-Yuan Wang

In this paper, we prove a conjecture of the second author by evaluating the determinant $$\det\left[x + \left(\frac{i-j}p\right) + \left(\frac ip\right)y + \left(\frac jp\right)z +…

cs.LG2023★ 2 cited

Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training

Yefan Zhou, Tianyu Pang, Keqin Liu +3

Regularization in modern machine learning is crucial, and it can take various forms in algorithmic design: training set, model family, error function, regularization terms, and opt…

stat.ML2023

General Formulation and PCL-Analysis for Restless Bandits with Limited Observability

Keqin Liu, Qizhen Jia

In this paper, we consider a general observation model for restless multi-armed bandit problems. The operation of the player is based on the past observation history that is limite…

math.GM2022

Generalization and Alternative Proof of Two Identities Posed by Sun

Keqin Liu

We study two identities involving roots of unity and determinants of Hermitian matrices which have been recently proved by using the famous eigenvector-eigenvalue identity for norm…