Research
On-device research index

arXiv research

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.

169,181 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Jul 201819922001200920182026
2 results for “NEES”
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimizationstat.ML

Bayesian optimization tunes Kalman filters more efficiently.

problem Manual tuning of Kalman filters is time-consuming and prone to local minima.
method Developed a Bayesian optimization strategy to automatically tune Kalman filters.
result Bayesian optimization identifies multiple local minima and provides uncertainty quantification.
Kalman filtersBayesian optimizationAuto-tuningGaussian processNEES
2018-07-23abs ↗pdf ↗
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literaturecs.LG

99% of papers use real-world data, but only 3% provide formal comparisons.

problem Lack of complete argumentative chains in demonstrating algorithmic effectiveness in machine learning papers.
method Systematic review of NeurIPS papers from 2017, assessing completeness of argumentative steps.
result Only 3% of papers provide formal comparisons, indicating incomplete argumentative chains.
machine learningalgorithmic effectivenessNeurIPSargumentative completenessformal comparison
2018-12-18abs ↗pdf ↗