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Portfolio optimization is a central problem in finance, with traditional approaches of- ten relying on forecasts of expected returns and covariances. With the growing adoption of machine learning in finance, return forecasting using ML techniques has become in- creasingly common. More recently, an alternative approach has been proposed where the portfolio weights are learned directly, bypassing th
