Ye He

Orcid: 0000-0003-4686-8449

Affiliations:
  • Georgia Institute of Technology, Atlanta, GA, USA


According to our database1, Ye He authored at least 8 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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Links

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Bibliography

2024
An Analysis of Transformed Unadjusted Langevin Algorithm for Heavy-Tailed Sampling.
IEEE Trans. Inf. Theory, January, 2024

Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling.
J. Mach. Learn. Res., 2024

Evaluating the design space of diffusion-based generative models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Regularized Stein Variational Gradient Flow.
CoRR, 2022

2020
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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