3 papers
cs.LG2026
Resolving Predictive Multiplicity for the Rashomon Set
Parian Haghighat, Hadis Anahideh, Cynthia Rudin
The existence of multiple, equally accurate models for a given predictive task leads to predictive multiplicity, where a Rashomon set of models achieve similar accuracy but diverge…
cs.LG2026
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability
Nazanin Nezami, Hadis Anahideh
Optimizing costly black-box functions within a constrained evaluation budget presents significant challenges in many real-world applications. Surrogate Optimization (SO) is a commo…
cs.LG2026
Multi-Agent LLMs for Adaptive Acquisition in Bayesian Optimization
Andrea Carbonati, Mohammadsina Almasi, Hadis Anahideh
The exploration-exploitation trade-off is central to sequential decision-making and black-box optimization, yet how Large Language Models (LLMs) reason about and manage this trade-…