Projections onto the canonical simplex with additional linear inequalities
نویسندگان
چکیده
منابع مشابه
Sparse projections onto the simplex
Most learning methods with rank or sparsity constraints use convex relaxations, which lead to optimization with the nuclear norm or the `1-norm. However, several important learning applications cannot benefit from this approach as they feature these convex norms as constraints in addition to the non-convex rank and sparsity constraints. In this setting, we derive efficient sparse projections on...
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ژورنال
عنوان ژورنال: Optimization Methods and Software
سال: 2020
ISSN: 1055-6788,1029-4937
DOI: 10.1080/10556788.2020.1797023