Xu, Zuheng

11 publications

NeurIPS 2025 Asymptotically Exact Variational Flows via Involutive MCMC Kernels Zuheng Xu, Trevor Campbell

AISTATS 2025 Is Gibbs Sampling Faster than Hamiltonian Monte Carlo on GLMs? Son Luu, Zuheng Xu, Nikola Surjanovic, Miguel Biron-Lattes, Trevor Campbell, Alexandre Bouchard-Cote

ICML 2025 Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization Kyurae Kim, Zuheng Xu, Jacob R. Gardner, Trevor Campbell

NeurIPS 2024 Propensity Score Alignment of Unpaired Multimodal Data Johnny Xi, Jana Osea, Zuheng Xu, Jason Hartford

NeurIPSW 2024 Score-Based Interaction Testing in Pairwise Experiments Jana Osea, Zuheng Xu, Cian Eastwood, Jason Hartford

AAAI 2024 Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks Xin Ding, Yongwei Wang, Zuheng Xu

NeurIPS 2023 Embracing the Chaos: Analysis and Diagnosis of Numerical Instability in Variational Flows Zuheng Xu, Trevor Campbell

ICML 2023 MixFlows: Principled Variational Inference via Mixed Flows Zuheng Xu, Naitong Chen, Trevor Campbell

NeurIPS 2022 Bayesian Inference via Sparse Hamiltonian Flows Naitong Chen, Zuheng Xu, Trevor Campbell

ICLR 2021 CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation Xin Ding, Yongwei Wang, Zuheng Xu, William J Welch, Z. Jane Wang

NeurIPS 2020 Bayesian Pseudocoresets Dionysis Manousakas, Zuheng Xu, Cecilia Mascolo, Trevor Campbell