UA Machine Learning (ML@UAlbany)

The Machine Learning Laboratory is a research group at the Department of Mathematics and Statistics, College of Arts and Sciences, University at Albany, State University of New York (SUNY). We are interested in both mathematical foundations and algorithmic development of machine learning algorithms with the recent focus on Statistical Learning Theory, Optimization for Machine Learning, Deep Learning, Robust Machine Learning, and Differential Privacy.  The research group is also actively involved in machine learning applications to various application domains such as computer vision, renewable energy, climate sciences, and medical research. Funding for the lab has been provided by the National Science Foundation (NSF), Simons Foundation, Oak Ridge Associated Universities (ORAU), Department of Energy (DOE), EPSRC, and UAlbany.

News 

• Prof Ying has moved to the University of Sydney and he is recruiting postdocs and PhDs at USYD. For inquiries, please contact him directly at yiming.ying AT sydney.edu.au

• Talks at Texas A&M, Binghamton University, UC Davis, and SIAM NNP Minisymposium (Fall, 2023)

• Dr. Zi Yang joined the department. Welcome!

• Ruogu Wang successfully defended his Ph.D. thesis. Ruogu is supervised by Prof Yunlong Feng. Congratulations to both Dr. Wang and Prof Feng!

• New paper on generalization analysis of stochastic compositional gradient descent algorithms

Ming Yang, Xiyuan Wei, Tianbao Yang, and Yiming Ying. Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms. ArXiv Preprint (47 pages, first version on May 15, 2023) 

• Prof Ying receives the SUNY Chancellor’s Excellence Award in Research and Creative Activities (2023)

• New paper on ML application to biological fluorescence image data

Ruogu Wang, A. Lemus, C. Henneberry, Y. Ying, Y. Feng, and A. Valm. Unmixing biological fluorescence image data with sparse and low-rank Poisson regression, Bioinformatics, 39 (4), 2023. 

• Two papers accepted in ICML (2023) which will be held in Honolulu, Hawaii this year. 

Check out our new ICML work: Generalization Analysis for Contrastive Representation Learning

• Prof Ying serves as an Area Chair for ICML (2023), NeurIPS (2023), and AISTATS (2023).

• Our collaborative work with Dr. Varshney from IBM on minimax AUC fairness is accepted by AAAI (2023).  Congratulations to Neyo and Yan Lok!

• Prof Feng has been awarded an NIH grant. Congratulations to Yunlong!

Faculty           

         Dr. Yiming Ying       Dr. Yunlong Feng      Dr. Penghang Yin       Dr. Felix Ye         Dr. Zi Yang                       

          Professor                Ass. Professor             Asst. Professor        Asst. Professor     Asst. Professor 

External Affiliated Faculty

       Dr. Yunwen Lei 

     Department of Mathematics

   The University of Hong Kong

Members

 Ming Yang (PhD student)

 Xun Dong (PhD student)

 Yan Lok Ko (PhD student)

Aozhong Zhang (PhD student)

 Ruogu Wang 

Alumni

Feng Yu (Postdoc)

Zheng-Chu Guo (Postdoc; Professor at School of Mathematical Sciences, Zhejiang University)

Zhenhuan (Neyo) Yang (Ph.D. student; first job as a data scientist at Etsy)

Michael Natole (Ph.D. student; first job at Regeneron)

Qiong Cao  (Ph.D. student; first job as a postdoc at Oxford University)

Martin Boissier (Ph.D. at City University of Hong Kong; Co-supervision with Prof Ding-Xuan Zhou; Lead AI Engineer at Ambi Labs)

Baojian Zhou (Co-supervision with Prof Feng Chen; assistant professor at Fudan University)

Puyu Wang  (Visiting Ph.D. student; first job as a postdoc at CityU, HongKong)

Wei Shen (Visiting Ph.D. student; first job as a postdoc at HKUST)

Yunwen Lei (Visiting Ph.D. student; Humboldt Research Fellow; an Assistant Professor at the University of Hong Kong)

Jiho Hong (Visiting Ph.D. student from Korean Advanced Institute of Science and Technology)

Ming Xu (Associate Professor, visiting scholar from Dalian University of Technology)

Qin Fan (Associate Professor, visiting scholar from Dalian University)

Yongli Xu (Professor, visiting scholar from Beijing University of Chemical Technology)

Jia Cai (Professor, visiting scholar from Guangdong University of Finance and Economics )

Min Han (Associate Professor, visiting scholar from Beijing Univesity of Technology)

Publications:    See more information in homepages of  Profs Yiming , Yunlong,  Penghang, Felix.