Welcome back for the 2024-25 academic year! During this seminar I will highlight department, faculty, and student achievements from our past year and welcome our…
Abstract: Gaussian graphical regression is a powerful means that regresses the precision matrix of a Gaussian graphical model on covariates, permitting the numbers of the…
Abstract: Decoding strategies play a pivotal role in text generation for modern language models, yet a perplexing gap persists between theory and practice. Surprisingly, strategies…
Abstract: To optimize mobile health interventions and advance domain knowledge on intervention design, it is critical to understand how the intervention effect varies over time…
Abstract: Many model-agnostic statistical diagnostics are based on repeatedly re-fitting a model with some observations deleted or replicated. Cross-validation, the non-parametric bootstrap, and outlier detection…
Abstract: With advances in data collection and storage, statistical learning algorithms are becoming increasingly popular for structure learning and prediction with large-scale data sets that…
We invite you to attend an info session to learn about our professionally oriented programs--Master of Data Science (MDS), Master of Computer Science (MCS) and Master of Software Engineering (MSWE).
Abstract: Our society remains profoundly unequal. This talk discusses how data science and machine learning can be used to combat inequality in health care and…
Abstract: Algorithmic markets, where model providers utilize algorithms to provide products or ser- vices, have become increasingly prevalent in our daily lives. The adoption of…
Abstract: This talk begins with an overview of Gaussian process (GP) surrogate modeling, and my favorite application: active learning for the (Bayesian) optimization of a…
We invite you to attend an info session to learn about our professionally oriented programs--Master of Data Science (MDS), Master of Computer Science (MCS) and Master of Software Engineering (MSWE).