Publications

Filter by type:

. Large Language Models Can Be Strong Differentially Private Learners. 2021.

PDF

. On the Opportunities and Risks of Foundation Models. 2021.

PDF

. Efficient and Accurate Gradients for Neural SDEs. Advances in Neural Information Processing Systems (NeurIPS), 2021.

PDF

. Neural SDEs as Infinite-Dimensional GANs. International Conference on Machine Learning (ICML), 2021.

PDF

. When Does Preconditioning Help or Hurt Generalization?. International Conference on Learning Representations (ICLR), 2021.

Preprint

. Scalable Gradients for Stochastic Differential Equations. Short version accepted for spotlight presentation at 2nd Symposium on AABI. International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.

PDF Code Video Slides

. Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond. Advances in Neural Information Processing Systems (NeurIPS), 2019.

PDF Spotlight

. The idemetric property: when most distances are (almost) the same. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2019.

PDF

. Isolating Sources of Disentanglement in Variational Autoencoders. Advances in Neural Information Processing Systems (NeurIPS), 2018.

PDF Oral

. Inference Suboptimality in Variational Autoencoders. International Conference on Machine Learning (ICML), 2018.

PDF