Explore cutting-edge research in probabilistic modeling and decision making through this 1 hour 32 minute oral session from the Uncertainty in Artificial Intelligence (UAI) 2024 conference. Dive into four presentations covering diverse topics: solving the Capacitated Facility Location Problem with limited resources, performing inference in Probabilistic Answer Set Programs with imprecise probabilities, examining generalized expected utility as a universal decision rule, and investigating polynomial semantics of tractable probabilistic circuits. Gain insights into advanced concepts and methodologies shaping the field of artificial intelligence under uncertainty. Access detailed information about each presentation, including authors and links to full papers, to deepen your understanding of these complex topics.
Probabilistic Modeling and Decision Making - Oral Session 6
Uncertainty in Artificial Intelligence via YouTube
Overview
Syllabus
UAI 2024 Oral Session 6: Probabilistic Modeling & Decision Making
Taught by
Uncertainty in Artificial Intelligence