Yi-An Ma

Yi-An Ma

University of California, San Diego

H-index: 23

North America-United States

About Yi-An Ma

Yi-An Ma, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of scalable machine learning, Bayesian inference, optimization, stochastic processes, dynamical systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Estimate exponential memory decay in hidden Markov model and its applications to inference

On the convergence of black-box variational inference

Aiming towards the minimizers: fast convergence of SGD for overparametrized problems

Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes

Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?

Posterior sampling with delayed feedback for reinforcement learning with linear function approximation

The adaptive spectral koopman method for dynamical systems

Yi-An Ma Information

University

Position

___

Citations(all)

4031

Citations(since 2020)

3647

Cited By

1381

hIndex(all)

23

hIndex(since 2020)

19

i10Index(all)

28

i10Index(since 2020)

27

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Yi-An Ma Skills & Research Interests

scalable machine learning

Bayesian inference

optimization

stochastic processes

dynamical systems

Top articles of Yi-An Ma

Title

Journal

Author(s)

Publication Date

Estimate exponential memory decay in hidden Markov model and its applications to inference

Physica D: Nonlinear Phenomena

Felix X-F Ye

Yi-an Ma

Hong Qian

2024/4/1

On the convergence of black-box variational inference

Advances in Neural Information Processing Systems

Kyurae Kim

Jisu Oh

Kaiwen Wu

Yian Ma

Jacob Gardner

2024/2/13

Aiming towards the minimizers: fast convergence of SGD for overparametrized problems

Advances in neural information processing systems

Chaoyue Liu

Dmitriy Drusvyatskiy

Misha Belkin

Damek Davis

Yian Ma

2024/2/13

Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo

arXiv preprint arXiv:2401.06325

Xunpeng Huang

Difan Zou

Hanze Dong

Yian Ma

Tong Zhang

2024/1/12

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes

Dongxia Wu

Tsuyoshi Idé

Georgios Kollias

Jiri Navratil

Aurelie Lozano

...

2024/4/18

Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?

Kyurae Kim

Yian Ma

Jacob Gardner

2024/4/18

Posterior sampling with delayed feedback for reinforcement learning with linear function approximation

Advances in Neural Information Processing Systems

Nikki Lijing Kuang

Ming Yin

Mengdi Wang

Yu-Xiang Wang

Yian Ma

2023/12/15

The adaptive spectral koopman method for dynamical systems

SIAM Journal on Applied Dynamical Systems

Bian Li

Yian Ma

J Nathan Kutz

Xiu Yang

2023/9/30

A Central Limit Theorem for Stochastic Saddle Point Optimization

arXiv preprint arXiv:2306.06305

Abhishek Roy

Yian Ma

2023/6/9

Deep bayesian active learning for accelerating stochastic simulation

Dongxia Wu

Ruijia Niu

Matteo Chinazzi

Alessandro Vespignani

Yi-An Ma

...

2023/8/6

SGD batch saturation for training wide neural networks

Chaoyue Liu

Dmitriy Drusvyatskiy

Mikhail Belkin

Damek Davis

Yian Ma

2023/10/13

Bayesian robustness: A nonasymptotic viewpoint

Journal of the American Statistical Association

Kush Bhatia

Yi-An Ma

Anca D Dragan

Peter L Bartlett

Michael I Jordan

2023/3/15

Optimization on Pareto sets: On a theory of multi-objective optimization

arXiv preprint arXiv:2308.02145

Abhishek Roy

Geelon So

Yi-An Ma

2023/8/4

Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy

arXiv preprint arXiv:2310.14661

Yingyu Lin

Yian Ma

Yu-Xiang Wang

Rachel Redberg

2023/10/23

Reverse Diffusion Monte Carlo

arXiv preprint arXiv:2307.02037

Xunpeng Huang

Hanze Dong

Yifan Hao

Yian Ma

Tong Zhang

2023/7/5

Recursive Score Estimation Accelerates Diffusion-Based Monte Carlo

Xunpeng Huang

Difan Zou

Hanze Dong

Yian Ma

Tong Zhang

2023/10/13

Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning

Amin Karbasi

Nikki Lijing Kuang

Yian Ma

Siddharth Mitra

2023/7/3

A Gradient-Based Optimization Method Using the Koopman Operator

arXiv preprint arXiv:2312.14361

Mengqi Hu

Bian Li

Yi-An Ma

Yifei Lou

Xiu Yang

2023/12/22

Discovering Mixtures of Structural Causal Models from Time Series Data

arXiv preprint arXiv:2310.06312

Sumanth Varambally

Yi-An Ma

Rose Yu

2023/10/10

Disentangled Multi-Fidelity Deep Bayesian Active Learning

Proceedings of the 40th International Conference on Machine Learning (ICML)

Dongxia Wu

Ruijia Niu

Matteo Chinazzi

Yian Ma

Rose Yu

2023/5/7

See List of Professors in Yi-An Ma University(University of California, San Diego)

Co-Authors

H-index: 203
Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

H-index: 128
Alessandro Vespignani

Alessandro Vespignani

North Eastern University

H-index: 83
Peter Bartlett

Peter Bartlett

University of California, Berkeley

H-index: 62
Hong Qian

Hong Qian

University of Washington

H-index: 40
Chi Jin

Chi Jin

Princeton University

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