The van Eeden seminar is presented each year by the University of British Columbia’s Department of Statistics. The invited speaker is a prominent statistician chosen by the department’s graduate students. This year’s vitual seminar is sponsored by CANSSI and features Dr. Kevin Patrick Murphy, a research scientist at Google.
For more information and to register for the seminar, visit the event page on the UBC statistics department website.
“I will present a unified perspective on the field of machine learning research, following the structure of my recent book, Probabilistic Machine Learning: Advanced Topics (https://probml.github.io/book2). In particular, I will discuss various models and algorithms for tackling the following four key tasks, which I call the “pillars of ML”: prediction, control, discovery and generation. For each of these tasks, I will also briefly summarize a few of my own contributions, including methods for robust prediction under distribution shift, statistically efficient online decision making, discovering hidden regimes in high-dimensional time series data, and for generating high-resolution images.”