activity
20222026
most citedA Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization

15 citations · 25 across the 19 of their papers we have counts for

collaborators
Showing 2024 · stat.MLShow all

2 papers · 2 filters

stat.ML2024

Demystifying SGD with Doubly Stochastic Gradients

Kyurae Kim, Joohwan Ko, Yi-An Ma +1

Optimization objectives in the form of a sum of intractable expectations are rising in importance (e.g., diffusion models, variational autoencoders, and many more), a setting also…

stat.ML2024★ 1 cited

Provably Scalable Black-Box Variational Inference with Structured Variational Families

Joohwan Ko, Kyurae Kim, Woo Chang Kim +1

Variational families with full-rank covariance approximations are known not to work well in black-box variational inference (BBVI), both empirically and theoretically. In fact, rec…