Zuheng Xu
8 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🏆 Grand Slam
🔥
Unstoppable · Bronze
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The Questioner
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(6)
Deep Learning
(4)
Bayesian & Probabilistic
(4)
Models
(4)
Computer Vision
(2)
Mathematics & Optimization
(2)
Core Methods
(2)
Generation
(2)
Artificial Intelligence
(1)
Security & Privacy
(1)
Core AI
(1)
Differential Privacy
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
posterior approximation
(3)
variational inference
(3)
bayesian inference
(3)
generative adversarial network
(2)
hamiltonian monte carlo
(1)
sequential monte carlo
(1)
conditional generation
(1)
mcmc methods
(1)
kl divergence
(1)
variational optimization
(1)
effective sample size
(1)
normalizing flow
(1)
condition number
(1)
generalized linear model
(1)
gibbs sampling
(1)
image generation
(1)
image fidelity
(1)
evidence lower bound
(1)
langevin monte carlo
(1)
differential privacy
(1)
Papers
Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
AISTATS 2025
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
ICML 2025
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks
AAAI 2024
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
NeurIPS 2023
MixFlows: principled variational inference via mixed flows
ICML 2023
Bayesian inference via sparse Hamiltonian flows
NeurIPS 2022
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
ICLR 2021
Bayesian Pseudocoresets
NeurIPS 2020