Lectures on Bayesian statistics and information theory
🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials
Bayesian Information Gap Decision Theory
Decision making is one of the most sought after skills by executives. With the advent of Generative AI, decision making can be optimized to unlock the full potential of human judgement.
A systems-thinking essay arguing that most optimization quietly trades away buffers, slack, and resilience to make present metrics look better. It reframes efficiency as borrowing stability from the future, and shows how education, workforce, infrastructure, markets, and hardware all get optimized into fragility.
The project is related to the development of labs for the ITMO Speaker Recognition Course.
Bayesian decision theory engine for AI agents — Beta posteriors, VOI, and EU maximisation. Foundation for credence-router.
EE7403 Image Analysis & Pattern Recognition
A lightweight agent protocol for reducing uncertainty before execution.
Agent skills for designing, training, evaluating and improving application-specific decision systems. Primitive/model selection, data assembly, export/reload and bounded hill climbing. TypeSafe Jev is the default hosted exemplar; independent of TypeSafe.
This repository holds the code for our paper "Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis" by Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr and Eyke Hüllermeier.
📈 Laboratory works on the subject "Economic decision theory"
A Lean 4 library for formalizing Microeconomic Theory, Contract Theory, and Information Economics. Leveraging Mathlib for verified economic foundations.
Machine-checked Lean 4 / Mathlib formalization of Ismail's Primitives — six structural primitives proven necessary, mutually independent, and sequentially linked for sequential decision-making under uncertainty. 0 sorry · 0 axiom · ~12,700 lines.
The Sleeping Beauty problem is a puzzle in decision theory
🧮 🔢 �� Projects based in Introduction to Operational Research Labs. This projects was built using Jupyter Notebook, iPython, Python, Anaconda, Spyder IDE, JetBrains PyCharm and MATLAB. This repository it's based in some practical lab exercises and examples related with Introduction to Operational Research, using some software and libraries like M…
All type of calculators like Cuboid (4D), Binning, Chi-square test, Red-black tree, Binary search tree, Longest Common Sub Sequence, Master Theorm, Heap Sort, Decision Theory at one place ✨
A collection of Game Theory concepts, models, and implementations exploring strategic decision-making, equilibria, and rational behavior in competitive environments.
Held-out probability calibration and decision-cost auditing under covariate shift
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