Niao He

Prof. Dr.

Niao He

ETH Zurich

niao.he@inf.ethz.ch

NCCR Automation provides an exciting avenue to work with worldwide leaders and young generations in control, automation, and machine learning.

Niao He is an Assistant Professor in the Department of Computer Science at ETH Zurich, where she leads the Optimization and Decision Intelligence (ODI) Group. She holds a Ph.D. degree in Operations Research from Georgia Institute of Technology in 2015 and previously worked at University of Illinois at Urbana-Champaign before moving to Europe. She is also an ELLIS Scholar and a core faculty member of ETH AI Center and ETH-Max Planck Center of Learning Systems.

Scientific Publications

Miscellaneous

Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization

Yifan Hu

Niao He

Notes

RG;He group,OA,DOI: 10.48550/arXiv.2205.14278,http://arxiv.org/abs/2205.14278v2;Website

2022

Miscellaneous

Efficient Algorithms for A Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management

Niao He

Yifan Hu

Notes

RG;He group,OA,DOI: 10.48550/arXiv.2205.01774,http://arxiv.org/abs/2205.01774v3;Website

2022

Miscellaneous

Efficiently Escaping Saddle Points for Non-Convex Policy Optimization

Niao He

Notes

RG;Kiyavash group,OA,DOI: 10.48550/arXiv.2311.08914,http://arxiv.org/abs/2311.08914v1;Website

2023

Miscellaneous

Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization

Yifan Hu

Niao He

Notes

RG;He group,OA,DOI: 10.48550/arXiv.2205.14278,http://arxiv.org/abs/2205.14278v2;Website

2022

Miscellaneous

Efficient Algorithms for A Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management

Niao He

Yifan Hu

Notes

RG;He group,OA,DOI: 10.48550/arXiv.2205.01774,http://arxiv.org/abs/2205.01774v3;Website

2022

Miscellaneous

Efficiently Escaping Saddle Points for Non-Convex Policy Optimization

Niao He

Notes

RG;Kiyavash group,OA,DOI: 10.48550/arXiv.2311.08914,http://arxiv.org/abs/2311.08914v1;Website

2023

Miscellaneous

Scalable and correct by design synthesis

Computational Methods

Learning to Steer Markovian Agents under Model Uncertainty

Zebang Shen

Heinrich Nax

Niao He

Notes

RG;He group,Nax group,OA,DOI: 10.48550/arXiv.2407.10207,http://arxiv.org/abs/2407.10207v2;Website

2024

Miscellaneous

Scalable and correct by design synthesis

Computational Methods

Learning to Steer Markovian Agents under Model Uncertainty

Zebang Shen

Heinrich Nax

Niao He

2024

News & Insights

24-11-2023

New Grants for NCCR Automation Researchers

Congratulations to two NCCR Automation researchers who have won SNSF Swiss National Science Foundation grants this week. Niao He who won a starting grant for her project “Optimization for Modern Reinforcement Learning: from Principles to Scalability” and Mengshuo Jia who won for a project on rethinking power system computation from a fundamental and non-traditional perspective.

Read more about New Grants for NCCR Automation Researchers