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Jakwang Kim's academic homepage
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  • Publications
  • CV
Jakwang Kim's academic homepage
  • Home
  • Publications
  • CV
  • More
    • Home
    • Publications
    • CV
  1. Central limit theorem for smoothed adversarial training problem (joint work Dohyun Kwon) In preparation 

  2. Solving the marginal-constrained stochastic inverse problem via optimal transport (joint work with Samopriya Basu) In preparation 

  3. Central limit theorem of Wasserstein projections in convex order (joint work Jaehwan Choi, Dohyun Kwon) In preparation 

  4. Stochastic Mesoscale Approximation for Entropic Optimal Transport: Surrogate Duals and Kernel Stability Certificates (joint work with Shuqi Bi and Hanbaek Lyu) In preparation 

  5. Quantitative Stability of the Shadow for Wasserstein Projections and Sample Complexity Preprint (*There is an error; will be fixed soon)

  6. Extension of Coupling via the Projection of Optimal Transport (joint work with Young-heon Kim, Chan Park) Preprint

  7. Stability of Wasserstein projections in convex order via metric extrapolation (joint work with Young-Heon Kim, Andrea Natale) Electronic Communications in Probability

  8. Robust Estimation in metric spaces: Achieving Exponential Concentration with a Frechet Median (joint work with Jiyoung Park and Anirban Bhattacharya) The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)

  9. Optimal sequencing depth for single-cell RNA-sequencing in Wasserstein space (joint work with Geoffrey Schiebinger and Sharvaj Kubal) Annals of Statistics

  10. Statistical inference of convex order by Wasserstein projection (joint work with Young-heon Kim, Yuanlong Ruan and Andrew Warren) Bernoulli (To appear)

  11. An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification (joint work with Nicolas Garcia Trillos, Matt Jacobs and Matt Werenski) Journal of Machine Learning Research

  12. On the existence of solutions to adversarial training in multiclass classification (joint work with Nicolas Garcia Trillos and Matt Jacobs) European Journal of Applied Mathematics

  13. The multimarginal optimal transport formulation of adversarial multiclass classification (joint work with Nicolas Garcia Trillos and Matt Jacobs) Journal of Machine Learning Research

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