All Publications


  • Constructing Structure-Property Maps using High-Throughput Experiments and Machine Learning ADVANCED FUNCTIONAL MATERIALS Wu, H., Lin, S., Zhou, Y., Yang, M., Pan, H., Yao, C., Blanchet, J., Suo, Z., Lu, T. 2026
  • Distributionally Robust Optimization and Robust Statistics STATISTICAL SCIENCE Blanchet, J., Li, J., Lin, S., Zhang, X. 2025; 40 (3): 351-377

    View details for DOI 10.1214/24-STS955

    View details for Web of Science ID 001611349100002

  • Tightening Causal Bounds via Covariate-Aware Optimal Transport Lin, S., Gao, Z., Blanchet, J., Glynn, P. edited by Singh, A., Fazel, M., Hsu, D., Lacoste-Julien, S., Berkenkamp, F., Maharaj, T., Wagstaff, K., Zhu, J. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2025: 37815-37845
  • Is a high-throughput experimental dataset large enough to accurately estimate a statistic? JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS Zhou, Y., Lin, S., Zhang, X., Wu, H., Blanchet, J., Suo, Z., Lu, T. 2024; 183
  • GENERATIVE LEARNING FOR SIMULATION OF VEHICLE FAULTS Kuiper, P., Lin, S., Blanchet, J., Tarokh, V., IEEE IEEE. 2024: 2106-2117
  • Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints Li, J., Lin, S., Blanchet, J., Nguyen, V. edited by Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2022