S. Nirmalkumar

Best Proximity Learning: Stable Optimization of Deep Neural Networks Under Non-Convex Constraints

Findings suggest that proximity minimisation may provide a useful basis for stabilising optimisation when fixed-point assumptions are difficult to satisfy, but stronger mathematical proofs, complete ablation studies, consistent experimental specifications, and independently reproducible implementations are required to establish the method’s broader reliability and scalability.