Kyurae Kim I am a second year PhD student advised by Professor Jacob R. Gardner at the University of Pennsylvania working on Bayesian inference, stochastic optimization, Markov chain Monte Carlo sampling, and Bayesian optimization.

2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation …

PhD student at the University of Pennsylvania researching Bayesian inference methods. Also interested in optimization, signal processing, HPC, Julia - Red-Portal.

Kyurae Kim PhD student, Computer and Information Sciences, University of Pennsylvania. Joined ; November 2019

Kyurae Kim, Yi-An Ma, and Jacob R. Gardner. In Proceedings of the International Conference on Artificial Intelligence and Machine Learning (AISTATS) May 2024 Link

Kyurae KIM, PhD Student | Cited by 52 | of University of Pennsylvania, PA (UP) | Read 17 publications | Contact Kyurae KIM

2024年1月19日 · In this paper, we explore a theoretical middle ground between mean-field variational families and full-rank families: structured variational families. We rigorously prove that certain scale matrix structures can achieve a better iteration complexity of O(N), implying better scaling with respect to N.

2023年7月27日 · We prove that black-box variational inference (BBVI) with control variates, particularly the sticking-the-landing (STL) estimator, converges at a geometric (traditionally called "linear") rate under perfect variational family specification.

Was Charles Stein a Bayesian? Kyurae Kim's blog.