Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets

Arun Ganesh, Abhradeep Thakurta, Jalaj Upadhyay. Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets. In Gergely Neu, Lorenzo Rosasco, editors, The Thirty Sixth Annual Conference on Learning Theory, 12-15 July 2023, Bangalore, India. Volume 195 of Proceedings of Machine Learning Research, pages 1730-1773, PMLR, 2023. [doi]

@inproceedings{GaneshTU23,
  title = {Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets},
  author = {Arun Ganesh and Abhradeep Thakurta and Jalaj Upadhyay},
  year = {2023},
  url = {https://proceedings.mlr.press/v195/ganesh23a.html},
  researchr = {https://researchr.org/publication/GaneshTU23},
  cites = {0},
  citedby = {0},
  pages = {1730-1773},
  booktitle = {The Thirty Sixth Annual Conference on Learning Theory, 12-15 July 2023, Bangalore, India},
  editor = {Gergely Neu and Lorenzo Rosasco},
  volume = {195},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}