machine learning research
3 published articles
Machine learning research: recommender systems
Every top linear recommender may reduce to one of two regularizers
A preprint submitted to arXiv on 10 September 2026 argues the linear models topping recommendation benchmarks all reduce to one of two regularizers, then proposes two low-rank, closed-form hybrids.
2026-09-20
Causal ML research, arXiv, 3 September 2026
Probabilistic Causal Impact takes aim at SHAP's blind spot
Actual causality gives principled answers about blame and credit, but only for toy-sized models. A new arXiv paper claims Monte Carlo estimation can close the gap with scalable attribution methods like SHAP.
2026-09-17
AI Research
DiScoFormer found a way to kill the AI bottleneck that KDE and neural nets both missed
DiScoFormer estimates density and score in one forward pass, beating KDE by 37x in density error at 100 dimensions. The same transformer could serve diffusion models, Bayesian inference, and particle simulations without retraining.
2026-07-11