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.

168,695 papers · 148 categories

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3 results for “Mean-KL”

Minimal Random Code Learning with Mean-KL Parameterizationcs.LG

Paper improves MIRACLE for faster, more robust neural network compression.

problem Efficiently compressing neural networks while maintaining performance.

method Introduces Mean-KL parameterization to constrain compression cost.

result Mean-KL parameterization leads to twice as fast convergence and more robust compression.

neural networks compression variational learning Mean-KL robustness

2023-07-15abs ↗pdf ↗

Robust Variational Bayes by Min-Max Median Aggregationstat.ME

Robust VB framework handles contamination using min-max median aggregation.

problem Handling contamination and outliers in datasets.

method Partition data into subsets, formulate robust optimization problem, use min-max median KL divergence.

result Min-max median formulation improves robustness and statistical rates.

Variational Bayes Robustness Outliers Min-max median KL divergence

2025-12-14abs ↗pdf ↗

VisitHGNN: Heterogeneous Graph Neural Networks for Modeling Point-of-Interest Visit Patternscs.CE

VisitHGNN predicts visit probabilities between neighborhoods and POIs using graph neural networks.

problem Estimating visit probabilities between neighborhoods and POIs for urban planning.

method Heterogeneous, relation-specific graph neural network (VisitHGNN) trained on mobility data.

result Strong predictive performance with high fidelity to observed travel behavior.

graph neural networks heterogeneous graph visit probabilities urban mobility POI prediction

2025-10-03abs ↗pdf ↗