97 citations
- Stockholm UniversitySE6 papers
- KTH Royal Institute of TechnologySE5 papers
- Swedish InstituteSE3 papers
- Ministry of Foreign AffairsRO2 papers
- Aarhus UniversityDK1 paper
- Aston UniversityGB1 paper
- Athena Research and Innovation Center In Information Communication & Knowledge TechnologiesGR1 paper
- Athens University of Economics and BusinessGR1 paper
- Blekinge Institute of TechnologySE1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Consejo Superior de Investigaciones CientíficasES1 paper
- École Nationale de l’Aviation CivileFR1 paper
4 papers · 1 filter
On the Relation between Code Quality and Machine Learning Performance: A Large-scale Empirical Study
Marius Mignard, Steven Costiou, Anne Etien
Context: Computational notebooks are the standard environment for machine learning (ML) development. Within the ML community, model performance is often the primary considered metr…
Learning-Augmented Online Allocation under Unreliable Advice: Robustness, Exposure Fairness, and Distribution Shift
Fredy Pokou
Learning-augmented algorithms improve online decisions using predictions, but unreliable advice may harm efficiency and fairness. We study an online allocation problem with finite…
Nonlinear and Heavy-Tailed Predictability in Transition-Energy Financial Markets
Kpante Emmanuel Gnandi, Fredy Pokou, Jules Sadefo Kamdem
Transition-related financial markets are increasingly exposed to abrupt repricing episodes, elevated volatility, and heterogeneous macro-financial shocks. Under such conditions, co…
Predictive Accuracy versus Interpretability in Energy Markets: A Copula-Enhanced TVP-SVAR Analysis
Fredy Pokou, Jules Sadefo Kamdem, Kpante Emmanuel Gnandi
This paper investigates whether structural econometric models can rival machine learning in forecasting energy--macro dynamics while retaining causal interpretability. Using monthl…