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.

169,051 papers · 148 categories

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3 results for “multi-categorical”

Generating Multi-Categorical Samples with Generative Adversarial Networksstat.ML

Method trains GANs on categorical data, outperforming existing models.

problem GANs struggle with discrete data, especially categorical values.

method Proposes architectures with multiple Gumbel softmax output layers.

result Proposed architecture outperforms existing models on various datasets.

GANs categorical data softmax discrete data multi-categorical

2018-07-03abs ↗pdf ↗

Identification and Debiased Learning of Causal Effects with General Instrumental Variablesstat.ME

Develops methods to identify and estimate causal effects with instrumental variables.

problem Causal inference with confounded treatment assignment and unobserved variables.

method General nonparametric causal framework, debiased machine learning, semiparametric theory.

result Consistent and asymptotically normal estimators for average treatment effect.

Instrumental Variables Causal Inference Debiased Learning Semiparametric Theory Average Treatment Effect

2025-10-23abs ↗pdf ↗

Synthesizing Property & Casualty Ratemaking Datasets using Generative Adversarial Networksstat.ML

Generative adversarial networks create synthetic insurance datasets from confidential originals.

problem Difficulty in accessing or sharing confidential insurance datasets for research.

method Design and use of three GAN architectures tailored for multi-categorical insurance data.

result MC-WGAN-GP synthesizes the best data, CTGAN is easiest to use, and MNCDP-GAN ensures differential privacy.

Generative Adversarial Networks Insurance Ratemaking Synthetic Data Privacy Differential Privacy

2020-08-13abs ↗pdf ↗