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Found 3 papers, 2 papers with code
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
Neural network representations of simple models, such as linear regression, are being studied increasingly to better understand the underlying principles of deep learning algorithms.
Markowitz Portfolio Construction at Seventy
More than seventy years ago Harry Markowitz formulated portfolio construction as an optimization problem that trades off expected return and risk, defined as the standard deviation of the portfolio returns.
ARMA Cell: A Modular and Effective Approach for Neural Autoregressive Modeling
In this work, we introduce the ARMA cell, a simpler, modular, and effective approach for time series modeling in neural networks.
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