Yian Ma

According to our database, Yian Ma authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation.

Amartya Sanyal, Yaxi Hu, Yaodong Yu, Yian Ma, Yixin Wang, Bernhard Schölkopf

CoRR, 2024

Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo.

Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang

CoRR, 2024

2023

Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy.

Yingyu Lin, Yian Ma, Yu-Xiang Wang, Rachel Redberg

CoRR, 2023

Monte Carlo Sampling without Isoperimetry: A Reverse Diffusion Approach.

Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang

CoRR, 2023

Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation.

Nikki Lijing Kuang, Ming Yin, Mengdi Wang, Yu-Xiang Wang, Yian Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Variational refinement for importance sampling using the forward Kullback-Leibler divergence.

Ghassen Jerfel, Serena Lutong Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics.

Matthew D. Hoffman, Yian Ma

Proceedings of the 37th International Conference on Machine Learning, 2020