It's truly a beautiful paper. Congratulations for the acceptance!
22.01.2025 21:03 — 👍 1 🔁 0 💬 0 📌 0
MCMC for multi-modal distributions
We explain the fundamental challenges of sampling from multimodal distributions, particularly for high-dimensional problems. We present the major types of MCMC algorithms that are designed for this pu...
arxiv.org/abs/2501.05908
Just saw this review chapter to appear in the 2nd edition of the handbook of MCMC. It would have been great of they also introduced the recent transport and diffusion process-based multimodal samplers. So much exciting progress have been made on this front!
14.01.2025 04:37 — 👍 0 🔁 0 💬 0 📌 0
source: https://arxiv.org/rss/stat.ML
maintainer: @tmaehara.bsky.social
Assistant Professor of Statistics @ ESSEC Business School
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I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
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