Haoxian Chen

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Citations	114	114
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Henry LamColumbia UniversityVerified email at columbia.edu
Krzysztof ChoromanskiGoogle DeepMind Robotics & Columbia UniversityVerified email at columbia.edu
Han LinCS PhD Student, UNCVerified email at cs.unc.edu
Arijit SehanobishPostdoctoral Associate, Yale School of MedicineVerified email at yale.edu
Hanyang ZhaoColumbia UniversityVerified email at columbia.edu
Wenpin TangAssistant Professor, Columbia UniversityVerified email at columbia.edu
Yuanzhe MaColumbia UniversityVerified email at columbia.edu
FENGPEI LIColumbia UniversityVerified email at columbia.edu
Yuanlu BaiColumbia UniversityVerified email at columbia.edu

Haoxian Chen

Columbia University

Verified email at columbia.edu - Homepage

Generative Modeling Variance Reduction Uncertainty Quantification Efficient Transformers


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From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers K Choromanski, H Lin, H Chen, T Zhang, A Sehanobish, V Likhosherstov, ... ICML 2022, 2022	41*	2022
Learning prediction intervals for regression: Generalization and calibration H Chen, Z Huang, H Lam, H Qian, H Zhang AISTATS 2021, 2021	26	2021
Hybrid random features K Choromanski, H Chen, H Lin, Y Ma, A Sehanobish, D Jain, MS Ryoo, ... ICLR 2022, 2021	24	2021
Demystifying orthogonal monte carlo and beyond H Lin, H Chen, KM Choromanski, T Zhang, C Laroche NeurIPS 2022, 2020	8	2020
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning H Zhao, H Chen, J Zhang, DD Yao, W Tang arXiv preprint arXiv:2502.01819, 2025	4*	2025
MallowsPO: Fine-Tune Your LLM with Preference Dispersions H Chen, H Zhao, H Lam, D Yao, W Tang ICLR 2025, 2024	4	2024
Pseudo-bayesian optimization H Chen, H Lam arXiv preprint arXiv:2310.09766, 2023	4	2023
Constrained Reinforcement Learning via Policy Splitting H Chen, H Lam, F Li, A Meisami ACML 2020, 209-224, 2020	2	2020
Calibrating over-parametrized simulation models: A framework via eligibility set Y Bai, T Balch, H Chen, D Dervovic, H Lam, S Vyetrenko arXiv preprint arXiv:2105.12893, 2021	1	2021
Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variate F Li, H Chen, J Lin, A Gupta, X Tan, G Xu, Y Nevmyvaka, A Capponi, ... arXiv preprint arXiv:2412.11257, 2024		2024

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