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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.

168,657 papers · 148 categories

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2 results for “rejection-resampling”

Importance Corrected Neural JKO Samplingstat.ML

Proposes a method combining CNFs and rejection-resampling for sampling from unnormalized densities.

problem Sampling from unnormalized probability densities, especially multimodal ones.

method Combines continuous normalizing flows with rejection-resampling steps based on importance weights.

result The method improves sampling accuracy and performance compared to state-of-the-art methods.

sampling unnormalized densities rejection-resampling CNFs Wasserstein gradient flow

2024-07-29abs ↗pdf ↗

Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inferencecs.LG

The paper studies how to improve language model inference using particle filtering.

problem Understanding the accuracy-cost tradeoffs of inference-time methods for large language models.

method Introduces particle filtering algorithms like Sequential Monte Carlo (SMC) to study language model inference.

result Identifies criteria enabling non-asymptotic guarantees for SMC and fundamental limits faced by all particle filtering methods.

language models particle filtering Sequential Monte Carlo inference accuracy-cost tradeoffs

2026-03-09abs ↗pdf ↗