Week of Events
Monday, July 20, 2026
No events on this day.
Tuesday, July 21, 2026
No events on this day.
Wednesday, July 22, 2026
-
Virtual EventJuly 22, 2026Holmes, J. (CM) – Towards a Multi-dimensional Model of User Load
Holmes, J. (CM) – Towards a Multi-dimensional Model of User Load
Games user researchers (GURs) use various methods to understand when a game is overloading its players. In games research where data-driven multimodal approaches are necessary to drive insights, the currently available tools to measure user load are coarse, one-dimensional, and often aggregated. The more dominant instruments, such as the Cognitive Load Scale (CLS) and the […]
Thursday, July 23, 2026
-
Virtual EventJuly 23, 2026Chen, X. (STAT) – Changepoint Detection and Clustering Methods for Multivariate Time Series and Attributed Networks
-
Virtual EventJuly 23, 2026Li, J. (CM) – Detecting Failure to Adapt: Reading Self-Regulated Learning Breakdowns from Game Telemetry through Plan Recognition
Chen, X. (STAT) – Changepoint Detection and Clustering Methods for Multivariate Time Series and Attributed Networks
Time series data with dependence arise across a wide range of scientific and engineering disciplines, often presenting challenging inferential problems related to structural change and clustering. This Ph.D. proposal addresses several related problems in statistical inference for multivariate and network-indexed time series. First, we develop a weighted multivariate $U$-statistic procedure for detecting a single changepoint […]
Li, J. (CM) – Detecting Failure to Adapt: Reading Self-Regulated Learning Breakdowns from Game Telemetry through Plan Recognition
Three learners who fail the same level of an educational game the same number of times can be failing in three different ways, and the difference determines what each should do next. Yet the measures a game’s logs are usually reduced to (completion time, error counts, mastery estimates) render the three identical. This proposal takes […]
Friday, July 24, 2026
-
Hybrid EventJuly 24, 2026Gholami, K. (ECE) – Efficient Language Model Construction and Inference via Sparsity
-
Hybrid EventJuly 24, 2026Fontana, J. (STAT) – When We’re Always Wrong: Scalable Variable Selection in M-Open Settings
Gholami, K. (ECE) – Efficient Language Model Construction and Inference via Sparsity
While large language models can match or exceed human performance, they do so with memory and energy costs orders of magnitude greater than biological cognition. We investigate sparsity as a brain-inspired computational principle to address both. We first establish a framework for evaluating small language model construction methods, using the next-token logit distribution as a […]
Fontana, J. (STAT) – When We’re Always Wrong: Scalable Variable Selection in M-Open Settings
A ubiquitous task in statistical practice is that of variable selection, identifying which of a large set of features are the relevant ones. As data sets with a large number of observations have become increasingly common, new theoretical and computational challenges for model selection have emerged. We consider the variable selection problem for linear models […]
Saturday, July 25, 2026
No events on this day.
Sunday, July 26, 2026
No events on this day.