A new Tweedie kernel estimator for semicontinuous mixed densities on [0, ∞) is proposed, with derived asymptotic properties and a cross-validation method for selecting bandwidth and power parameter.
Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya, and Tomaso A Poggio
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A framework for concave distributional utility maximization in stochastic bandits via influence-function stochastic gradients and entropic mirror ascent on the simplex, with regret bounds.
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Tweedie-based nonparametric estimation for semicontinuous mixed densities
A new Tweedie kernel estimator for semicontinuous mixed densities on [0, ∞) is proposed, with derived asymptotic properties and a cross-validation method for selecting bandwidth and power parameter.
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Concave Statistical Utility Maximization Bandits via Influence-Function Gradients
A framework for concave distributional utility maximization in stochastic bandits via influence-function stochastic gradients and entropic mirror ascent on the simplex, with regret bounds.