Diana Cai

According to our database, Diana Cai authored at least 9 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Batch and match: black-box variational inference with a score-based divergence.

Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles C. Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul

CoRR, 2024

2023

Kernel Density Bayesian Inverse Reinforcement Learning.

Aishwarya Mandyam, Didong Li, Diana Cai, Andrew Jones, Barbara E. Engelhardt

CoRR, 2023

2022

Multi-fidelity Monte Carlo: a pseudo-marginal approach.

Diana Cai, Ryan P. Adams

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Active multi-fidelity Bayesian online changepoint detection.

Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Slice Sampling Reparameterization Gradients.

David M. Zoltowski, Diana Cai, Ryan P. Adams

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Finite mixture models do not reliably learn the number of components.

Diana Cai, Trevor Campbell, Tamara Broderick

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Weighted Meta-Learning.

Diana Cai, Rishit Sheth, Lester Mackey, Nicoló Fusi

CoRR, 2020

2018

A Bayesian Nonparametric View on Count-Min Sketch.

Diana Cai, Michael Mitzenmacher, Ryan P. Adams

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Edge-exchangeable graphs and sparsity.

Diana Cai, Trevor Campbell, Tamara Broderick

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016