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.

168,742 papers · 148 categories

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5 results for “nondeterminism”

Stochastic Probabilistic Programsstat.ML

Stochastic programs simplify complex models with noise and nondeterminism.

problem Handling models with nuisance parameters, noise, and nondeterminism.

method Developed a reference implementation for stochastic probabilistic programs and inference.

result Efficient inference in models with noise and nondeterminism is possible.

stochastic programming probabilistic inference nuisance parameters noise nondeterminism

2020-01-08abs ↗pdf ↗

Towards Inferential Reproducibility of Machine Learning Researchcs.LG

Proposes incorporating noise sources in machine learning evaluation for more reliable conclusions.

problem Inadequate handling of nondeterminism in machine learning research leads to unreliable results.

method Uses linear mixed effects models (LMEMs) and generalized likelihood ratio tests (GLRT) to analyze performance evaluation scores and assess performance differences.

result Demonstrates how to incorporate various sources of noise and data properties into statistical significance testing and reliability analysis.

machine learning reproducibility nondeterminism statistical inference linear mixed effects models

2023-02-08abs ↗pdf ↗

From Accuracy to Auditability: A Survey of Determinism in Financial AI Systemscs.AI

Survey of determinism issues in financial AI systems.

problem Vulnerabilities in reproducibility of financial AI systems.

method Literature review and first-party experiments on public financial datasets.

result Proposed a layered evaluation framework linking modality-specific metrics to audit readiness.

financial AI reproducibility determinism machine learning auditability

2026-05-11abs ↗pdf ↗

Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matchingcs.LG

New method reduces discrete flow transitions, improving perplexity estimation.

problem Stochasticity in discrete paths makes rectification strategies ineffective.

method Dynamic-optimal-transport-like minimization objective with minibatch strategies.

result 32 times reduction in transitions for same perplexity.

discrete flow matching perplexity estimation minibatch optimal transport stochastic paths dynamic-optimal-transport

2024-11-01abs ↗pdf ↗

Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatchcs.LG

New method ensures consistent inference across different tensor parallel sizes for large language models.

problem Non-deterministic inference in large language models due to inconsistent reduction orders across GPUs.

method Tree-Based Invariant Kernels (TBIK) that align intra- and inter-GPU reduction orders through a unified hierarchical binary tree structure.

result Bit-wise identical results across different tensor parallel sizes for RL training.

Tensor Parallelism Deterministic Inference Large Language Models Non-deterministic Behavior Reinforcement Learning

2025-11-21abs ↗pdf ↗