Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
非对数凹采样与对数分区估计的收敛速率
机构 * INRIA Ecole Normale Supérieure PSL Research University（INRIA 格尔诺勒高等师范大学PSL研究大学）
AI总结 研究非对数凹采样和对数分区估计的收敛速率，探讨其与优化问题的关系，发现采样和分区计算的最优速率有时等于或快于优化。
Comments Published in JMLR. New in v4: Summary tables / sections. Plots can be reproduced using the code at https://github.com/dholzmueller/sampling_experiments
Journal ref Journal of Machine Learning Research 26(249):1-72, 2025
