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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2 results for “information-lift”

Selective Risk Certification for LLM Outputs via Information-Lift Statistics: PAC-Bayes, Robustness, and Skeleton Designcs.LG

New method certifies risks of LLM outputs, improving accuracy and reliability.

problem Uncertain and incorrect outputs from large language models.

method Information-lift certificates using PAC-Bayes bounds and skeleton design.

result Achieves 77.0% coverage at 2% risk, outperforming baselines.

LLM outputs uncertainty quantification PAC-Bayes information-lift skeleton design

2025-09-16abs ↗pdf ↗

Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewardsstat.ML

Thompson Sampling bounds for contextual bandits with sub-Gaussian rewards.

problem Improving the performance of Thompson Sampling in contextual bandits with sub-Gaussian rewards.

method Proved comprehensive bounds on Thompson Sampling expected cumulative regret based on mutual information and lifted information ratio for sub-Gaussian rewards.

result Explicit regret bounds for various contextual bandit scenarios.

Thompson Sampling Contextual Bandits Regret Bounds Sub-Gaussian Rewards Mutual Information

2023-04-26abs ↗pdf ↗