1 citations · 1 across the 3 of their papers we have counts for
3 papers
Structured Basis Function Networks: Loss-Centric Multi-Hypothesis Ensembles with Controllable Diversity
Alejandro Rodriguez Dominguez, Muhammad Shahzad, Xia Hong
Existing approaches to predictive uncertainty rely either on multi-hypothesis prediction, which promotes diversity but lacks principled aggregation, or on ensemble learning, which…
Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification
Alejandro Rodriguez Dominguez, Muhammad Shahzad, Xia Hong
This work proposes a unified framework for portfolio allocation, covering both asset selection and optimization, based on a multiple-hypothesis predict-then-optimize approach. The…
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction
Alejandro Rodriguez Dominguez, Muhammad Shahzad, Xia Hong
Multi-modal problems can be effectively addressed using multiple hypothesis frameworks, but integrating these frameworks into learning models poses significant challenges. This pap…