The Curious Landscape of Multiclass Learning The Curious Landscape of Multiclass LearningNataly Brukhim, Chirag PabbarajuApril 29, 2024 “The gold standard of learning theory is the classical PAC model… In particular,
What I Read: Gamma Hurdle
The Gamma Hurdle Distribution The Gamma Hurdle DistributionJeff AllardFeb 7, 2025 “Modeling highly skewed continuous values in marketing experiments”
What I Read: individual risk
https://link.springer.com/content/pdf/10.1007/s11229-015-0953-4.pdf On individual riskPhilip Dawid2017 “We distinguish between “groupist” and “individualist” understandings of probability, and explore both “group to individual” and “individual to group” approaches to characterising individual risk.”
What I Read: commonality analysis
https://lnalborczyk.github.io/blog/2025-01-07-commonality/index.html Making sense of commonality analysisLadislas Nalborczyk2025-01-07 “Commonality analysis provides a valuable tool for addressing such questions by partitioning the explained variance in multiple regression into distinct components.”
What I Read: optimizing softmax
https://maharshi.bearblog.dev/optimizing-softmax-cuda Learning CUDA by optimizing softmax: A worklogMaharshi Pandya04 Jan, 2025 “Optimizing softmax, especially in the context of GPU programming with CUDA, presents many opportunities for learning.”