A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Optimal multiclass U-calibration error found to be Θ(√KT).
New algorithm reduces prediction errors across various loss functions.
Bayesian approach improves online prediction accuracy without distributional assumptions.
This work broadens calibeating to various proper losses using Bregman divergence.
This work generalizes calibeating for a broader range of proper losses using Bregman divergence.