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.

168,932 papers · 148 categories

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7 results for “pre-clustering”

Optimal Exploitation of Clustering and History Information in Multi-Armed Banditcs.LG

Develops algorithms to exploit historical and pre-clustered arm information in bandit problems.

problem Optimizing decision-making in multi-armed bandit and contextual bandit problems with historical observations and pre-clustered arms.

method META algorithm that combines historical observations and pre-clustering information, deriving regret bounds for various scenarios.

result META algorithm effectively balances between using historical observations and clustering, outperforming the other in different scenarios.

multi-armed bandit contextual bandit historical observations pre-clustering regret bounds

2019-05-31abs ↗pdf ↗

Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Eventscs.LG

Learning from electronic medical records (EMR) is challenging due to their relational nature and the uncertain dependence between a patient's past and future health status. Statistical relational learning is a natural fit for analyzing EMRs but is less adept at handling their inherent latent structure, such as connecti…

2012-06-27abs ↗pdf ↗

Grouping of Contracts in Insurance using Neural Networksq-fin.RM

New method optimizes insurance portfolios using neural networks.

problem Optimizing insurance portfolios using clustering.

method Neural networks to optimize model points for grouping contracts.

result Superiority of method compared to K-means clustering.

insurance neural networks clustering portfolio optimization

2019-12-20abs ↗pdf ↗

Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levelscs.LG

A new method estimates treatment effects in mixed groups, improving accuracy.

problem Estimating treatment effects in mixed groups with heterogeneous responses.

method PCM (pre-cluster and merge) approach for nonparametric estimation.

result Asymptotic consistency and significant improvement in accuracy over existing methods.

treatment effects non-targeted trials heterogeneous responses PCM asymptotic consistency

2025-04-22abs ↗pdf ↗

Combinatorial Keyword Recommendations for Sponsored Search with Deep Reinforcement Learningcs.IR

This paper improves keyword recommendation for sponsored search using deep reinforcement learning.

problem Selecting keywords from given candidates considering internal and external competitions.

method Solves the combinatorial optimization problem of keyword recommendations with a modified pointer network structure trained in a deep reinforcement learning framework.

result Remarkable improvements in performance observed both offline and online.

keyword recommendations sponsored search deep reinforcement learning relevance popularity

2019-07-18abs ↗pdf ↗

CBIR using features derived by Deep Learningcs.IR

Deep learning features improve CBIR system performance.

problem Retrieving similar images from a large database.

method Using features from pre-trained deep learning models for similarity retrieval.

result Significantly superior retrieval results compared to traditional methods.

CBIR Deep Learning Feature Extraction Image Retrieval Semantic Gap

2020-02-13abs ↗pdf ↗

MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generationcs.LG

New algorithms for clustering and synthetic data generation of heterogeneous tabular datasets.

problem Clustering and generating synthetic data from heterogeneous tabular datasets with hidden cluster structure.

method Developed MMM and MMMsynth algorithms for clustering and synthetic data generation.

result MMMsynth algorithm outperforms other literature tabular-data generators and approaches real data performance.

heterogeneous tabular data clustering synthetic data generation EM algorithm deep learning

2023-10-30abs ↗pdf ↗