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Home/Authors/Zhongxiang Dai

Zhongxiang Dai

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:00 AM AMS

11

papers

393

total citations

papers (11)

Federated Bayesian Optimization via Thompson Sampling

NEURIPS 2020arXiv

Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee

NEURIPS 2021arXiv

Differentially Private Federated Bayesian Optimization with Distributed Exploration

NEURIPS 2021arXiv

Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search

NEURIPS 2022arXiv

Sample-Then-Optimize Batch Neural Thompson Sampling

NEURIPS 2022arXiv

Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers

Quantum Bayesian Optimization

NEURIPS 2023arXiv

Batch Bayesian Optimization For Replicable Experimental Design

NEURIPS 2023arXiv

Exploiting Correlated Auxiliary Feedback in Parameterized Bandits

NEURIPS 2023arXiv

Optimizing Conditional Value-At-Risk of Black-Box Functions

Online Clustering of Dueling Bandits