Research topics

First order methods, acceleration techniques, convergence rates interpretations and techniques, continual learning, structural optimization, Frank-Wolfe method, etc 

Publication list

• Mokhwa Lee, Yifan Sun. Almost Multisecant BFGS Quasi-Newton Method. (Asilomar 2024) 

• Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh. Fast Online Node Labeling for Very Large Graphs. (ICML 2023)

• Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian.  Learning for Expressive Task-Related Sentence Representations (arxiv)

• Zhaoyue Chen, Yifan Sun.Reducing Discretization Error in the Frank-Wolfe method.  (AISTATS 2023)

• Baojian Zhou, Yifan Sun. Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets. ICML 2022. (arxiv)

Current research group members

• Yifan Sun (Adviser)

• Shabnam Jafarzade Mojaveri (PhD)

• Uyen Le (PhD)

• Xueying Bai (PhD, co-advised with Prof. Niranjan Balasubramanian)

Lab alum

• Mok Hwa Lee (PhD, now working in industry)

• Yushen Huang (PhD, co-advised with Prof. Michael Bender and Stanley Bak)

• Baojian Zhou (Collaboating PostDoc, now at Fudan University)

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