MPCa: Foundations of Adaptive Learning Models
Mon, 27 Oct, 13:30 - 15:10 PT (UTC -7)
Location: Chapel
Session Type: Lecture
Track: Adaptive Systems, Machine Learning, and Data Analytics
Mon, 27 Oct, 13:30 - 13:55 PT (UTC -7)

MPCa.1: Bi-Linear Homogeneity Enforced Filtering
Matthias Wagner, Oliver Lang, Johannes Kepler University, Austria
Mon, 27 Oct, 13:55 - 14:20 PT (UTC -7)

MPCa.2: Can Rich Embeddings Compensate for Model Simplicity? Exploring the Relationship Between Embedding Quality and Model Complexity
Cate Dunham, Worcester Polytechnic Institute, United States; Thomas Cao, Chia-Wei Tsai, Defense Threat Reduction Agency, United States; Joshua Uzarski, Development Command Soldier Center, United States; Randy Paffenroth, Worcester Polytechnic Institute, United States
Mon, 27 Oct, 14:20 - 14:45 PT (UTC -7)

MPCa.3: Prompt Fairness: Sub-group Disparities in LLMs
Meiyu Zhong, Noel Teku, Ravi Tandon, University of Arizona, United States
Mon, 27 Oct, 14:45 - 15:10 PT (UTC -7)

MPCa.4: Threshold Effect in Period Estimation for Short Periodic Pulses
Sebastian Schertler, Johannes Kepler University, Austria; Stefan Schuster, Stefan Scheiblhofer, Alexander Haberl, Clemens Staudinger, Johann Reisinger, voestalpine Stahl GmbH, Austria; Oliver Lang, Johannes Kepler University, Austria