1 citations · 1 across the 4 of their papers we have counts for
5 papers
Teacher-Anchored Selection of Post-Training Quantized Models under Domain Shift
Alejandro Rodriguez Dominguez, Muhammad Shahzad, Xia Hong
Compressing a trained model yields a family of deployment candidates, and under domain shift the most compressed one need not be the one to deploy. We study selection over such a f…
Human Supervision as an Information Bottleneck: A Unified Theory of Error Floors in Human-Guided Learning
Alejandro Rodriguez Dominguez
Large language models are trained primarily on human-generated data and feedback, yet they exhibit persistent errors arising from annotation noise, subjective preferences, and the…
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…