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Magical Implementation
Joint work with Jacob Glazer. Abstract: A principal needs to decide which of two parties deserves a prize. Each party privately observes the state of nature that determines which of them deserves the prize. The principal presents each party with a text that truthfully describes the conditions for deserving the prize and asks each of… Continue Reading Magical Implementation
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Deep Learning for approximating solutions to hard computational problems indirectly
Abstract: Computational reduction serves as a powerful tool in optimization by enabling the translation between different computational problems while preserving key structural and computational properties. This allows one problem to be reformulated in terms of another, often facilitating the solution of otherwise complex problems. Since reductions are mostly manual, it is plausible that alternative, better… Continue Reading Deep Learning for approximating solutions to hard computational problems indirectly
