Diana Cai

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 11

Top Topics

Variational Inference

Pitman Yor Process

Posterior Distribution

Top Venues

Publications

Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles C. Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul
Batch and match: black-box variational inference with a score-based divergence. CoRR (2024)
Aishwarya Mandyam, Didong Li, Diana Cai, Andrew Jones, Barbara E. Engelhardt
Kernel Density Bayesian Inverse Reinforcement Learning. CoRR (2023)
Diana Cai, Ryan P. Adams
Multi-fidelity Monte Carlo: a pseudo-marginal approach. NeurIPS (2022)
Diana Cai, Ryan P. Adams
Multi-fidelity Monte Carlo: a pseudo-marginal approach. CoRR (2022)
David M. Zoltowski, Diana Cai, Ryan P. Adams
Slice Sampling Reparameterization Gradients. NeurIPS (2021)
Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams
Active multi-fidelity Bayesian online changepoint detection. UAI (2021)
Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams
Active multi-fidelity Bayesian online changepoint detection. CoRR (2021)
Diana Cai, Trevor Campbell, Tamara Broderick
Finite mixture models do not reliably learn the number of components. ICML (2021)
Diana Cai, Rishit Sheth, Lester Mackey, Nicoló Fusi
Weighted Meta-Learning. CoRR (2020)
Diana Cai, Michael Mitzenmacher, Ryan P. Adams
A Bayesian Nonparametric View on Count-Min Sketch. NeurIPS (2018)
Diana Cai, Trevor Campbell, Tamara Broderick
Edge-exchangeable graphs and sparsity. NIPS (2016)