Lin Chen is a postdoctoral scholar at the Simons Institute for the Theory of Computing, University of California, Berkeley . His research interests focus on machine learning theory.

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Selected Awards

  • Google Ph.D. Fellowship, 2018
  • Google Excellence Scholarship, 2013
  • National Scholarship, 2011

Selected Publications

* denotes alphabetical order or equal contribution.

  1. Lin Chen, Sheng Xu, Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS, ICLR 2021. slides
  2. Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi, Multiple Descent: Design Your Own Generalization Curve.
  3. Lin Chen*, Qian Yu*, Hannah Lawrence, Amin Karbasi, Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition, NeurIPS 2020.
  4. Lin Chen*, Moran Feldman*, and Amin Karbasi*, Unconstrained Submodular Maximization with Constant Adaptive Complexity, STOC 2019.