I am a fourth-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.

Research

  • Hong-Bin Chen, Jean-Christophe Mourrat, Jiaming Xia, Statistical inference of finite-rank tensors. arXiv
  • Hong-Bin Chen, Sinho Chewi, Jonathan Niles-Weed, Dimension-free log-Sobolev inequalities for mixture distributions. arXiv
  • Yuri Bakhtin, Hong-Bin Chen, Dynamic polymers: invariant measures and ordering by noise. arXiv
  • Hong-Bin Chen, Jiaming Xia, Fenchel-Moreau identities on self-dual cones. arXiv
  • Hong-Bin Chen, Jiaming Xia, Hamilton-Jacobi equations for inference of matrix tensor products. arXiv
  • Hong-Bin Chen, Hamilton-Jacobi equations for nonsymmetric matrix inference. arXiv
  • 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
photo