Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters
On 17 Apr, 2021 By admin 0 Comments
External Course
The Curse of Free-Will and the Paradox of Inevitable Regret
On 17 Apr, 2021 By admin 0 Comments
2013
Abstract
The paradox described below aims to clarify the principles by which empirical data are harnessed to guide decision making. It is motivated by the practical question of whether empirical assessments of the effect of treatment on the treated (ETT) can be useful for either policy evaluation or personal decisions.
Ranking Forests
On 15 Apr, 2021 By admin 0 Comments
2012
Abstract
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
On 14 Apr, 2021 By admin 0 Comments
April, 2021
External Course
Bayesuvius: Visual Dictionary of Bayesian Networks
On 14 Apr, 2021 By admin 0 Comments
April 7, 2021
External Course
P-hacking Issues
On 14 Apr, 2021 By admin 0 Comments
Introduction to Coding Quantum Algorithms: A Tutorial Series Using Pyquil
On 8 Mar, 2021 By admin 0 Comments
Introduction to Coding Quantum Algorithms: A Tutorial Series Using Qiskit
On 8 Mar, 2021 By admin 0 Comments
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
On 7 Mar, 2021 By admin 0 Comments
Probabilistic Causation
On 2 Mar, 2021 By admin 0 Comments
2013
External Course
The starting point of theories of probabilistic causation is that causes raise the probabilities of their effects; however the road to a satisfactory account of the relationship between causes and probabilisties has proven to be long and fraught with dificulties. This work offers a survey of the main problems and solutions emerged in about thirty years of research, and points to some metaphysical problems that are still object of philosophical debate.