Tag Archives: Statistics
Thanks to Rich Vuduc for inviting me to give a talk at CScADS. Autotuning is an approach for generating efficient code for high performance computing. I’ll try to summarize how my PL work can contribute to and benefit from this … Continue reading
Here are the abstract and slides for my talk at IBM PL Day. Title: Mechanizing Optimization and Statistics Abstract: Scientific and engineering investigations are formalized most often in the language of numerical mathematics. The tools supporting this are numerous but … Continue reading
Abstract and slides are here.
Abstract When solving machine learning problems, there is currently little automated support for easily experimenting with alternative statistical models or solution strategies. This is because this activity often requires expertise from several diï¬€erent ï¬elds (e.g., statistics, optimization, linear algebra), and … Continue reading