Cai, Xu

8 publications

ICML 2025 FlexControl: Computation-Aware Conditional Control with Differentiable Router for Text-to-Image Generation Zheng Fang, Lichuan Xiang, Xu Cai, Kaicheng Zhou, Hongkai Wen

AISTATS 2025 Lower Bounds for Time-Varying Kernelized Bandits Xu Cai, Jonathan Scarlett

NeurIPS 2025 Shortcutting Pre-Trained Flow Matching Diffusion Models Is Almost Free Lunch Xu Cai, Yang Wu, Qianli Chen, Haoran Wu, Lichuan Xiang, Hongkai Wen

AAAI 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization Xu Cai, Jonathan Scarlett

TMLR 2023 On Average-Case Error Bounds for Kernel-Based Bayesian Quadrature Xu Cai, Thanh Lam, Jonathan Scarlett

ICML 2021 Lenient Regret and Good-Action Identification in Gaussian Process Bandits Xu Cai, Selwyn Gomes, Jonathan Scarlett

ICML 2021 On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization Xu Cai, Jonathan Scarlett

AAAI 2019 FRAME Revisited: An Interpretation View Based on Particle Evolution Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin