Bay Area Discrete Math Day XII: Hierarchial Dirichlet...
From Google TechTalks · 1:06:47
Show by Google TechTalks
Google TechTalksBay Area Discrete Math Day XIIApril 15, 2006Michael Jordan (UC Berkeley)ABSTRACTA Dirichlet process (DP) is a random probability measure that concentrates on discrete measures. It has interesting and well-explored connections to various topics in combinatorics and probability. It has also played an important role in nonparametric Bayesian statistics, via sampling algorithms that are based on its exchangeability properties. I define a hierarchical Dirichlet process (HDP), in which the base measure for each of a set of child DPs is itself distributed according to a DP. I discuss representations of HDPs in terms of stick-breaking processes and a generalization of the Chinese...Uploaded 08-10-07
More episodes of Google TechTalks
More episodes
- Threat Models for Memorization: Privacy, Copyright, and Everything In-Between
- Technology Assisted Reading Acquisition: Children Acquiring Literacy Naturally
- sex on the internet, the realities of porn, sexual privacy,
- Privacy Auditing of Large Language Models
- The Limits and Possibilities of One Run Auditing
- PhotoTechEDU Day 29: Photographing VR Panoramas
- Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
- Inside VMware Fusion
- Java Posse Episode 100 (Live Special)
- Cascading Adversarial Bias from Injection to Distillation in Language Models
PodSearch is a free, independent podcast search engine. Read about PodSearch, the privacy policy or contact us.