Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation

Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka. Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 4485-4513, PMLR, 2023. [doi]

@inproceedings{ChenDFLYZRZSN23,
  title = {Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation},
  author = {Yu Chen and Wei Deng and Shikai Fang and Fengpei Li and Nicole Tianjiao Yang and Yikai Zhang and Kashif Rasul and Shandian Zhe and Anderson Schneider and Yuriy Nevmyvaka},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/chen23f.html},
  researchr = {https://researchr.org/publication/ChenDFLYZRZSN23},
  cites = {0},
  citedby = {0},
  pages = {4485-4513},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}