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.

168,742 papers · 148 categories

Trend · papers per month

count % of corpus

2 results for “varsortability”

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Gamestat.ML

Simulated DAGs can mislead structure learning algorithms due to variance patterns.

problem Structure learning algorithms can be misled by variance patterns in simulated DAG models.

method Introduced varsortability as a measure of agreement between marginal variance order and causal order.

result Performance of structure learning algorithms can be explained by high varsortability, but this does not generalize to real-world data.

varsortability structure learning causal discovery simulated DAG benchmark

2021-02-26abs ↗pdf ↗

The Structurally Complex with Additive Parent Causality (SCARY) Datasetstat.ML

SCARY dataset generates complex causal scenarios for causality research.

problem Lack of complexity in existing causal datasets.

method Synthetic dataset with 40 scenarios, three seeds, and two data generation mechanisms.

result Provides a valuable resource for realistic causal discovery.

causal discovery synthetic dataset complex scenarios selection bias unfaithful data

2023-04-27abs ↗pdf ↗