ICML/UAI/COLT Workshops Posted

See here for the current list. They include: Nonparametric Bayes (woohoo!), machine learning and music, Bayesian modeling applications, prior knowledge for text and language processing, sparse optimization and variable selection, as well as stand-alone workshops on the reinforcement learning competition and mining and learning with graphs.

Because I'm one of the organizers, I'd like to call attention to the Prior knowledge for text and language processing workshop. We'd definitely like submissions on any of the following topics:

• Prior knowledge for language modeling, parsing, translation

• Topic modeling for document analysis and retrieval

• Parametric and non-parametric Bayesian models in NLP

• Graphical models embodying structural knowledge of texts

• Complex features/kernels that incorporate linguistic knowledge; kernels built from generative models

• Limitations of purely data-driven learning techniques for text and language applications; performance gains due to incorporation of prior knowledge

• Typology of different forms of prior knowledge for NLP (knowledge embodied in generative Bayesian models, in MDL models, in ILP/logical models, in linguistic features, in representational frameworks, in grammatical rules…)

• Formal principles for combining rule-based and data-based approaches to NLP

• Linguistic science and cognitive models as sources of prior knowledge

Yes, I know that's a shameless plug, but do you really expect better from me?!