Yian Ma

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Variational Inference

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Top Venues

Publications

Yingyu Lin, Yian Ma, Yu-Xiang Wang, Rachel Redberg, Zhiqi Bu
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy. ICLR (2024)
Amartya Sanyal, Yaxi Hu, Yaodong Yu, Yian Ma, Yixin Wang, Bernhard Schölkopf
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation. CoRR (2024)
Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo. CoRR (2024)
Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang
Reverse Diffusion Monte Carlo. ICLR (2024)
Yingyu Lin, Yian Ma, Yu-Xiang Wang, Rachel Redberg
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy. CoRR (2023)
Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yian Ma, Rose Yu
Disentangled Multi-Fidelity Deep Bayesian Active Learning. ICML (2023)
Kyurae Kim, Yian Ma, Jacob R. Gardner
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? CoRR (2023)
Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang
Monte Carlo Sampling without Isoperimetry: A Reverse Diffusion Approach. CoRR (2023)
Kyurae Kim, Kaiwen Wu, Jisu Oh, Yian Ma, Jacob R. Gardner
Black-Box Variational Inference Converges. CoRR (2023)
Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yian Ma, Rose Yu
Disentangled Multi-Fidelity Deep Bayesian Active Learning. CoRR (2023)
Kyurae Kim, Jisu Oh, Kaiwen Wu, Yian Ma, Jacob R. Gardner
On the Convergence of Black-Box Variational Inference. NeurIPS (2023)
Nikki Lijing Kuang, Ming Yin, Mengdi Wang, Yu-Xiang Wang, Yian Ma
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation. NeurIPS (2023)
Ghassen Jerfel, Serena Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan
Variational refinement for importance sampling using the forward Kullback-Leibler divergence. UAI (2021)
Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yian Ma, Rose Yu
DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting. CoRR (2021)
Matthew D. Hoffman, Yian Ma
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics. ICML (2020)