Simons Institute
A Theory of Multi-objective Machine Learning
Explore multi-objective learning as a unifying paradigm for robustness, collaboration, and fairness in machine learning, with technical tools and empirical evidence.
YouTube1 hour 11 minutesSelf-pacedFree video
BIMSA
Educability: Defining and Simulating Human Capabilities - ICBS 2024
Explore "educability" as a defining human capability, synthesizing learning from experience and others to explain humanity's achievements and guide future technology development.
YouTube1 hour 3 minutesSelf-pacedFree video
Hausdorff Center for Mathematics
High-Dimensional Convexity: Testing, Learning, and Complexity
Explore the fascinating parallels between high-dimensional convex sets and monotone Boolean functions, examining algorithmic structures and mathematical complexities in Gaussian space.
YouTube49 minutesSelf-pacedFree video
Simons Institute
Domain Adaptation - 20 Years of Theory Chasing Practice
Explore the evolving relationship between theoretical frameworks and practical applications in domain adaptation learning, examining key insights, challenges, and the widening theory-practice gap.
YouTube37 minutesSelf-pacedFree video