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Haoxian Chen
Haoxian Chen
Columbia University
Verified email at columbia.edu
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Year
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, ...
International Conference on Machine Learning, 3962-3983, 2022
24*2022
Hybrid random features
K Choromanski, H Chen, H Lin, Y Ma, A Sehanobish, D Jain, MS Ryoo, ...
The Tenth International Conference on Learning Representations, 2021
182021
Learning prediction intervals for regression: Generalization and calibration
H Chen, Z Huang, H Lam, H Qian, H Zhang
International Conference on Artificial Intelligence and Statistics, 820-828, 2021
162021
Demystifying orthogonal monte carlo and beyond
H Lin, H Chen, KM Choromanski, T Zhang, C Laroche
Advances in Neural Information Processing Systems 33, 8030-8041, 2020
72020
Pseudo-bayesian optimization
H Chen, H Lam
arXiv preprint arXiv:2310.09766, 2023
12023
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
12021
Constrained Reinforcement Learning via Policy Splitting
H Chen, H Lam, F Li, A Meisami
Asian Conference on Machine Learning, 209-224, 2020
12020
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Articles 1–7