Yuansi Chen

Yuansi Chen

Quick Bio:

I am a PhD candidate in the Department of Statistics at UC Berkeley. The research life in Berkeley started in the fall of 2013. I am advised by Prof. Bin Yu. During my PhD, I am fortunate to also work with Prof. Martin Wainwright and Prof. Jack Gallant.
My main research interests lie on statistical machine learning, optimization and the applications in neuroscience. In particular, I am interested in stability, sampling algorithms, convolutional neural networks and statistical problems that arise from computational neuroscience. Before my PhD study, I obtained my Diplome d'Ingénieur (Eng. Deg. in Applied Mathematics) at Ecole Polytechnique in France.

Curriculum Vitae (in pdf)
Github

Teaching: Spring 2019 -- Stat 154 Modern Statistical Prediction and Machine Learning


"The best thing about being a statistician, is that you get to play in everyone's backyard." -- John Tukey

Publications:

Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients,
Yuansi Chen, Raaz Dwivedi, Wenlong Mou, Martin Wainwright, Bin Yu. Submitted to Conference on Computational Learning Theory (COLT) 2019
The DeepTune Framework for Modeling and Characterizing Neurons in Visual Cortex Area V4, [bioRxiv]
Reza Abbasi-Asl*, Yuansi Chen*, Adam Bloniarz, Michael Oliver, Ben Willmore, Jack Gallant, Bin Yu. Submitted to Proceedings of the National Academy of Sciences (PNAS)
Stability and Convergence Trade-off of Iterative Optimization Algorithms, [Arxiv]
Yuansi Chen, Chi Jin, Bin Yu. Submitted to Journal of Machine Learning Research (JMLR)
Log-concave sampling: Metropolis-Hastings algorithms are fast, [COLT][Arxiv][Code on Github]
Yuansi Chen*, Raaz Dwivedi*, Martin Wainwright, Bin Yu. Conference on Computational Learning Theory (COLT) 2018
The longer journal version is submitted to Annals of Applied Probability (AoAP).
Fast MCMC Algorithms on Polytopes, [JMLR][Arxiv][C++ Implementation on Github]
Yuansi Chen*, Raaz Dwivedi*, Martin Wainwright, Bin Yu. Journal of Machine Learning Research (JMLR) 2018
Vaidya Walk: A Sampling Algorithm Based on Volumetric-Logarithmic Barrier, [IEEE]
Yuansi Chen*, Raaz Dwivedi*, Martin Wainwright, Bin Yu. Allerton Conference 2017
Fast and Robust Archetypal Analysis for Representation Learning, [CVPR][Arxiv][Code&Demo]
Yuansi Chen, Julien Mairal and Zaid Harchaoui. IEEE Computer Vision and Pattern Recognition (CVPR) 2014

* denotes equal contribution