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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2 results for “MAPA”

Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencodersstat.ML

A new method approximates posterior for VAEs without iterative training.

problem Inference models in VAEs are poor early on, leading to suboptimal models.

method Train generative and inference models independently, using a model-agnostic posterior approximation (MAPA).

result MAPA approximates the true posterior deterministically and can improve density estimation.

Variational Autoencoders Posterior Approximation MAPA Independent Training Density Estimation

2024-03-13abs ↗pdf ↗

Asynchronous Federated Learning with Differential Privacy for Edge Intelligencecs.LG

Secure asynchronous federated learning with differential privacy for edge intelligence.

problem Privacy concerns in federated learning for edge computing.

method Differential privacy applied to secure asynchronous federated learning.

result MAPA improves model accuracy and convergence speed with sufficient privacy.

federated learning differential privacy asynchronous edge computing privacy

2019-12-17abs ↗pdf ↗