Minimax best density estimation using a shallow generative product which has a one-dimensional latent variable
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Over the estimation of persistence depth functions and linear representations of persistence diagrams
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Due to the fact its inception in 1985, the principal intention of AISTATS has become to broaden study in these fields by promoting the exchange of Concepts amongst them.
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On the price of precise truthfulness in incentive-appropriate on the net learning with bandit responses: a regret decrease bound for WSU-UX
Semi-Modular Inference: Increased learning in multi-modular types by tempering the influence of components
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Since its inception in 1985, the key goal of AISTATS has actually been to broaden study in these fields by endorsing the exchange of Concepts among the them.