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Haoxuan Chen

4 papers · 2022–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird ❓ The Questioner
πŸ“ˆ Trend Setter

Venues

ICLR (2) NeurIPS (2)

Top co-authors

Lexing Ying (4) Jose Blanchet (2) Yinuo Ren (2) Grant M. Rotskoff (2) Yiping Lu (2) Jianfeng Lu (1)

Research topics

Machine Learning (3) Optimization & Theory (3) Deep Learning (2) Mathematics & Optimization (2) Mathematics (2) Models (2) Learning Types Β· Machine Learning (1) Learning Types Β· Deep Learning (1) Optimization (1)

Keywords

minimax optimality (2) monte carlo simulation (1) nonparametric regression (1) variance reduction (1) sublinear complexity (1) generalization bound (1) diffusion model (1) physics-informed neural network (1) partial differential equation (1) control variate (1) discrete diffusion model (1) sampling acceleration (1) parallel sampling (1) deep ritz method (1) error analysis (1) monte carlo (1) neural scaling law (1) regression adjustment (1) change of measure (1) sobolev function (1)

Papers

How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework ICLR 2025 Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity NeurIPS 2024 When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality NeurIPS 2023 Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality ICLR 2022