Minimax optimal density estimation utilizing a shallow generative model by using a just one-dimensional latent variable
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About the estimation of persistence intensity functions and linear representations of persistence diagrams
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Since its inception in 1985, the main intention of AISTATS has become to broaden analysis in these fields by promoting the exchange of Thoughts amid them.
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On the cost of specific truthfulness in incentive-suitable online learning with bandit feed-back: a regret reduced certain for WSU-UX
Semi-Modular Inference: Improved learning in multi-modular designs by tempering the impact of parts
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Considering the fact that its inception in 1985, the first target of AISTATS continues to be to broaden research in these fields by endorsing the exchange of ideas among the them.