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

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5 results for “RankNet”

Rank Position Forecasting in Car Racingcs.LG

RankNet forecasts car racing positions with improved accuracy and stability.

problem Forecasting rank positions in car racing, especially considering pit stops.

method Cause-effect decomposition in RankNet, incorporating probabilistic forecasting.

result RankNet outperforms baselines significantly, improving MAE by over 10%.

car racing rank forecasting pit stops deep learning forecasting accuracy

2020-10-04abs ↗pdf ↗

Application of the Ranking Relative Principal Component Attributes Network Model (REL-PCANet) for the Inclusive Development Index Estimationcs.CE

New model improves estimation of Inclusive Development Index for better public understanding.

problem Improving accuracy and transparency of the Inclusive Development Index calculation.

method Ranking Relative Principal Component Attributes Network Model (REL-PCANet) combining PCA, image recognition, and learning to rank.

result Rel-PCANet provides reliable and robust scores and rankings for the IDI.

Inclusive Development Index REL-PCANet Principal Component Analysis RelARM RankNet

2018-04-16abs ↗pdf ↗

Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performancecs.IR

DirectRanker neural net outperforms state-of-the-art learning to rank methods.

problem Improving learning to rank performance.

method Pairwise learning to rank using a neural network (DirectRanker) with mathematical properties for simplification.

result DirectRanker outperforms numerous state-of-the-art methods in experiments.

learning to rank neural networks pairwise transitivity antisymmetry

2019-09-06abs ↗pdf ↗

CAIRO: Decoupling Order from Scale in Regressionstat.ME

CAIRO separates ranking from scaling to improve robustness.

problem Conflating ranking and scaling in regression leads to model vulnerability.

method Two-stage approach: first learns a scoring function, then recovers scale.

result CAIRO recovers true regression function with auto-calibration guarantees.

regression ranking scale robustness outliers

2026-02-16abs ↗pdf ↗

Transductive Conformal Inference for Full Rankingcs.LG

Method quantifies uncertainty in full ranking with new CP approach.

problem Uncertainty quantification in full ranking with unknown ground truth.

method Transductive Conformal Prediction (CP) method to construct distribution-free bounds.

result Valid prediction sets and false coverage proportion control for full ranking.

Conformal Prediction Ranking Uncertainty Quantification Transductive False Coverage

2025-01-20abs ↗pdf ↗