School Statistics and Publicity.

Incentives, Inequality, and Publicity

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School of Statistics

Markov chain Monte Carlo algorithms often require tuning, which is challenging in high dimension. One solution involves letting the computer automatically "adapt" the algorithm while it runs, to tune on the fly. However, such adaptive can easily destroy ergodicity if done naively. In this talk, we consider adapting the proposal distributions of Metropolis algorithms, and adapting the coordi...

Mathematical Statistics Old School

Proceedings and Publicity Chair

Researchers in many fields use dozens of different rapidly growing on-line knowledge sources, each with its own structure and access methods. Successful research often depends on a researcher's ability to discover connections among many different sources of information. The popularity of Google suggests that high-quality indexing would provide a uniform method of access, although it still leave...

Publicity and Publication Chairs

Commodity parallel computers are no longer a technology predicted for some indistinct future: they are becoming ubiquitous. In the absence of significant advances in clock speed, chip-multiprocessors (CMPs) and symmetric multithreading (SMT) are the modern workhorses that keep Moore’s Law still relevant. On the software side, we are starting to observe the adaptation of some codes to the new co...