Andika ChudianWho Created God? Exploring the Classic Question in Theology and PhilosophyBy author16h ago
Samuele MazzantiinTowards Data ScienceCausality in ML Models: Introducing Monotonic ConstraintsMonotonic constraints are key to making machine learning models actionable, yet they are still quite unusedSep 612
Quentin Gallea, PhDinTowards Data ScienceWhy Machine Learning Is Not Made for Causal EstimationPredictive vs. causal inference: a critical distinctionJul 189Jul 189
Tibor BalazsDSGE Models: Bridging Theory and Reality — A Personal Take on Modern Macroeconomics“The problem of identifying a structural model from a collection of economic time series is one that must be solved by anyone who claims…1d ago1d ago
Qitian WuinTowards Data ScienceTowards Generalization on Graphs: From Invariance to CausalityThis blog post shares recent papers on out-of-distribution generalization on graph-structured dataJul 18Jul 18
Andika ChudianWho Created God? Exploring the Classic Question in Theology and PhilosophyBy author16h ago
Samuele MazzantiinTowards Data ScienceCausality in ML Models: Introducing Monotonic ConstraintsMonotonic constraints are key to making machine learning models actionable, yet they are still quite unusedSep 612
Quentin Gallea, PhDinTowards Data ScienceWhy Machine Learning Is Not Made for Causal EstimationPredictive vs. causal inference: a critical distinctionJul 189
Tibor BalazsDSGE Models: Bridging Theory and Reality — A Personal Take on Modern Macroeconomics“The problem of identifying a structural model from a collection of economic time series is one that must be solved by anyone who claims…1d ago
Qitian WuinTowards Data ScienceTowards Generalization on Graphs: From Invariance to CausalityThis blog post shares recent papers on out-of-distribution generalization on graph-structured dataJul 18
Quentin Gallea, PhDinTowards Data ScienceHow to Learn Causal Inference on Your Own for FreeThe ultimate self-study guide for all levelsFeb 209
Dr. Robert KüblerinTowards Data ScienceEasy Methods for Causal InferenceUse your favorite models in combination with meta-learners to make valid causal statementsFeb 202
