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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

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3 results for “LBA”

Neural Networks for Latent Budget Analysis of Compositional Datastat.ML

Improved neural network model for predicting latent budgets in compositional data.

problem Predicting response variables in compositional data with non-negativity constraints.

method LBA-NN, a feed forward neural network model that incorporates K-means clustering for interpretation.

result LBA-NN outperforms traditional LBA in prediction accuracy, specificity, recall, and mean square error.

neural networks latent budgets compositional data prediction K-means clustering

2021-09-10abs ↗pdf ↗

A review of NMF, PLSA, LBA, EMA, and LCA with a focus on the identifiability issuestat.ML

Paper reviews and compares NMF, PLSA, LBA, EMA, and LCA models.

problem Identifiability of latent models.

method Comparison and proof of identifiability.

result Identifiability of LBA, EMA, LCA, PLSA is unique if and only if NMF is unique.

NMF PLSA LBA EMA LCA

2025-12-25abs ↗pdf ↗

Label Differential Privacy via Aggregationcs.LG

New method preserves privacy by aggregating feature-vectors with weighted sums, ensuring label differential privacy.

problem Ensuring privacy in training data aggregation for sensitive labels.

method Learning from bag aggregates (LBA) with weighted Gaussian sums, preserving label differential privacy (label-DP).

result Weighted LBA using iid Gaussian weights with

m

randomly sampled disjoint

k

-sized bags provides

(\varepsilon, δ)

-label-DP.

label differential privacy aggregation weighted sums feature-vectors privacy

2023-10-16abs ↗pdf ↗