Zhongxiang Dai

Federated Linear Dueling Bandits AAAI 2026 Large Language Model-Enhanced Multi-Armed Bandits ACL 2026 Self-Reflective Generation at Test Time ACL 2026 Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025 Neural Dueling Bandits: Preference-Based Optimization with Human Feedback ICLR 2025 Online Clustering of Dueling Bandits ICML 2025 Refining Adaptive Zeroth-Order Optimization at Ease ICML 2025 WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data ACL 2025 Localized Zeroth-Order Prompt Optimization NeurIPS 2024 Position Paper: Data-Centric AI in the Age of Large Language Models EMNLP 2024 Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars NeurIPS 2024 Robustifying and Boosting Training-Free Neural Architecture Search ICLR 2024 Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers ICML 2024 Batch Bayesian Optimization For Replicable Experimental Design NeurIPS 2023 Exploiting Correlated Auxiliary Feedback in Parameterized Bandits NeurIPS 2023 Federated Neural Bandits ICLR 2023 Quantum Bayesian Optimization NeurIPS 2023 Training-Free Neural Active Learning with Initialization-Robustness Guarantees ICML 2023 Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation ICLR 2023 Bayesian Optimization under Stochastic Delayed Feedback ICML 2022 NASI: Label- and Data-agnostic Neural Architecture Search at Initialization ICLR 2022 Neural ensemble search via Bayesian sampling UAI 2022 On provably robust meta-Bayesian optimization UAI 2022 Sample-Then-Optimize Batch Neural Thompson Sampling NeurIPS 2022 Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search NeurIPS 2022 Differentially Private Federated Bayesian Optimization with Distributed Exploration NeurIPS 2021 Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee NeurIPS 2021 Optimizing Conditional Value-At-Risk of Black-Box Functions NeurIPS 2021 Value-at-Risk Optimization with Gaussian Processes ICML 2021 Federated Bayesian Optimization via Thompson Sampling NeurIPS 2020 Private Outsourced Bayesian Optimization ICML 2020 R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games ICML 2020 Bayesian Optimization Meets Bayesian Optimal Stopping ICML 2019 Bayesian Optimization with Binary Auxiliary Information UAI 2019 Implicit Posterior Variational Inference for Deep Gaussian Processes NeurIPS 2019