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.

168,694 papers · 148 categories

Trend · papers per month

count % of corpus

7 results for “log-density-ratio”

Discriminative classification with generative features: bridging Naive Bayes and logistic regressionstat.ML

Smart Bayes integrates generative and discriminative features for improved classification.

problem Improving classification performance by combining generative and discriminative modeling.

method Integrates generative likelihood-ratio features into a logistic-regression-style classifier.

result Often outperforms logistic regression and Naive Bayes in simulations and real data.

classification generative modeling discriminative modeling logistic regression Naive Bayes

2025-11-30abs ↗pdf ↗

Deep Neural Network Classifier for Multi-dimensional Functional Datastat.ML

Proposes a deep neural network for multi-dimensional functional data classification.

problem Classifying multi-dimensional functional data with non-Gaussian distributions.

method Trains a deep neural network on the principle components of the training data.

result FDNN achieves minimax optimality when log density ratio has a locally connected modular structure.

deep neural network functional data multi-dimensional non-Gaussian minimax optimality

2022-05-17abs ↗pdf ↗

Regularized Variational and Spectral Log-Density-Ratio Estimation in the Gaussian Location Modelcs.LG

Estimates Gaussian location model with ridge regularization, comparing variational and spectral methods.

problem Estimating parameters in Gaussian location model with regularization.

method Ridge-regularized log-density-ratio estimation, variational and spectral approaches.

result Regularized variational estimator has lower risk with many observations, spectral estimator with fewer observations.

Gaussian location model ridge regularization log-density-ratio variational estimation spectral estimation

2026-07-02abs ↗pdf ↗

Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributionsstat.ML

We introduce a new algorithm for approximate inference that combines reparametrization, Markov chain Monte Carlo and variational methods. We construct a very flexible implicit variational distribution synthesized by an arbitrary Markov chain Monte Carlo operation and a deterministic transformation that can be optimized…

2017-08-04abs ↗pdf ↗

Concept Modulation Models: A Unified Framework for Identifiability and Extrapolationcs.LG

Concept modulation models unify identifiability and extrapolation in conditional latent variable models.

problem Reliable generalization in conditional latent variable models

method Concept modulation models (CMMs) with structure

A o Λ o C o X

result Lifts identifiability to conditional settings and controls extrapolation through attribute potentials.

identifiability extrapolation conditional latent variable models concept modulation models

2026-06-16abs ↗pdf ↗

MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flowsstat.ML

MonoFlow rethinks GANs using Wasserstein gradient flows.

problem Inconsistencies between GAN theory and practice.

method Unified generative modeling framework based on Wasserstein gradient flows.

result Adversarial training can be seen as particle flow optimization.

GANs Wasserstein gradient flows divergence minimization particle flow

2023-02-02abs ↗pdf ↗

Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensionsstat.ML

New framework improves experimental design using integral probability metrics.

problem Challenges in Bayesian Optimal Experimental Design (BOED) with KL divergence.

method Integrates integral probability metrics (IPMs) for stability and flexibility.

result IPM-based designs yield more robust and accurate credible sets.

Bayesian Optimal Experimental Design Integral Probability Metrics Plug-and-Play Wasserstein Distance Maximum Mean Discrepancy

2026-04-23abs ↗pdf ↗