2026
Efficient Stochastic Optimisation via Sequential Monte Carlo
ICML 2026poster
The problem of optimising functions with intractable gradients frequently arise in machine learning and statistics, ranging from maximum marginal likelihood estimation procedures to fine-tuning of generative models. Stochastic approximation methods for this class of problems typically require inner …