I am a fifth-year PhD student at Courant Institute, NYU. My research interest lies in fields related to probability. I co-organize the Student Probability Seminar at Courant.

My primary advisor is Yuri Bakhtin and my secondary advisor is Jean-Christophe Mourrat.

You can email me via hongbin.chen (at) nyu.edu. My teaching experience, talks given and other information can be found in my CV.

I expect to graduate in spring, 2022, and I am actively looking for postdoc positions.

Research

  • Hong-Bin Chen, Jiaming Xia. Limiting free energy of multi-layer generalized linear models. arXiv; submitted
  • Hong-Bin Chen, Jean-Christophe Mourrat, Jiaming Xia. Statistical inference of finite-rank tensors. arXiv; submitted
  • Hong-Bin Chen, Sinho Chewi, Jonathan Niles-Weed. Dimension-free log-Sobolev inequalities for mixture distributions. arXiv; submitted
  • Yuri Bakhtin, Hong-Bin Chen. Dynamic polymers: invariant measures and ordering by noise. arXiv; accepted by Probability Theory and Related Fields
  • Hong-Bin Chen, Jiaming Xia. Fenchel-Moreau identities on self-dual cones. arXiv; submitted
  • Hong-Bin Chen, Jiaming Xia. Hamilton-Jacobi equations for inference of matrix tensor products. arXiv; to appear in Annales de l'Institut Henri PoincarĂ©
  • Hong-Bin Chen. Hamilton-Jacobi equations for nonsymmetric matrix inference. arXiv; accepted by Annals of Applied Probability
  • Hong-Bin Chen, Jonathan Niles-Weed. Asymptotics of smoothed Wasserstein distances. arXiv; Potential Analysis, 2021
  • Yuri Bakhtin, Hong-Bin Chen. Atypical exit events near a repelling equilibrium. arXiv; Annals of Probability, 2021
  • Yuri Bakhtin, Hong-Bin Chen. Long exit times near a repelling equilibrium. arXiv; Annals of Applied Probability, 2021
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