Research
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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

Trend · papers per month

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0.3%0.5%0.8%0.2% · Jan 201619922001200920172026
2 results for “node-sparse”
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inferencestat.ML

New BNN model proves optimal posterior concentration and enables practical inference.

problem Improving generalization and uncertainty quantification in deep neural networks.
method Proposes a new node-sparse BNN model with theoretical guarantees and a novel MCMC algorithm for inference.
result Proves near minimax optimal posterior concentration rate and adaptiveness to true model smoothness.
Bayesian neural networksnode-sparsetheoretical guaranteesposterior inferenceminimax optimality
2023-05-24abs ↗pdf ↗
On the Sample Complexity of Learning Graphical Gamescs.GT

We analyze the sample complexity of learning graphical games from purely behavioral data. We assume that we can only observe the players' joint actions and not their payoffs. We analyze the sufficient and necessary number of samples for the correct recovery of the set of pure-strategy Nash equilibria (PSNE) of the true…

2016-01-27abs ↗pdf ↗