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.

168,657 papers · 148 categories

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3 results for “Graph-to-Tree”

Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problemcs.CL

Graph-to-Tree Neural Networks improve structured input-output translation in tasks like semantic parsing and math word problems.

problem Improving performance on tasks like semantic parsing and math word problem solving.

method Graph-to-Tree Neural Networks, consisting of a graph encoder and a hierarchical tree decoder.

result Graph2Tree model outperforms or matches state-of-the-art models on neural semantic parsing and math word problem tasks.

Graph-to-Tree Neural Networks Structured Input-Output Semantic Parsing Math Word Problems

2020-04-07abs ↗pdf ↗

Sparse Nonparametric Graphical Modelsstat.ML

We present some nonparametric methods for graphical modeling. In the discrete case, where the data are binary or drawn from a finite alphabet, Markov random fields are already essentially nonparametric, since the cliques can take only a finite number of values. Continuous data are different. The Gaussian graphical mode…

2012-01-04abs ↗pdf ↗

High-Dimensional Bayesian Optimization via Tree-Structured Additive Modelsstat.ML

The paper tackles high-dimensional Bayesian optimization using tree-structured additive models.

problem Scaling Bayesian Optimization to high-dimensional problems.

method Tree-structured additive models with hybrid graph learning and zooming-based algorithms.

result Demonstrates faster model learning and reduced model complexity in high-dimensional settings.

Bayesian Optimization Tree-Structured Models Additive Models Graph Learning Zooming

2020-12-24abs ↗pdf ↗