机器学习与数据科学博士生系列论坛（第七十七期）—— Solving Inverse Problems Exactly with Diffusion Model: Sequential Monto Carlo
Holder： Kaicheng Jin（Peking University）
Time：2024-10-17 16:00-17:00
Location：Tencent Conference 627-5441-1672
Abstract:
Best-Of-Both-Worlds (BOBW) bandit algorithms that have regret guarantees for both stochastic and adversarial settings have been studied for many years and Tsallis-INF (or other FTRL policies) is one of the most promising frameworks for BOBW policies.
About the Speaker:
论坛每次邀请一位博士生就某个前沿课题做较为系统深入的介绍，主题包括但不限于机器学习、高维统计学、运筹优化和理论计算机科学。
Your participation is warmly welcomed!
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