The Limits of Price Discrimination Under Privacy Constraints
We study a producer's problem of selling a product to a continuum of privacy-conscious consumers, where the producer can implement third-degree price ...
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Find all the Top AIFinancial papers. Links to pdf, code repos and demos are provided.
We study a producer's problem of selling a product to a continuum of privacy-conscious consumers, where the producer can implement third-degree price ...
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We introduce Conformal Decision Theory, a framework for producing safe autonomous decisions despite imperfect machine learning predictions. Examples o...
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We study reserve price optimization in multi-phase second price auctions, where seller's prior actions affect the bidders' later valuations through a ...
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Introduces a Bayesian nonparametric framework for inferring switching linear dynamical systems (SLDS) and switching vector autoregressive (VAR) proces...
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We study the problem of learning revenue-optimal multi-bidder auctions from samples when the samples of bidders' valuations can be adversarially corru...
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Bayesian hierarchical models are increasing popular in economics. When using
hierarchical models, it is useful not only to calculate posterior expecta...
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Deep reinforcement learning (DRL) has revolutionized learning and actuation in applications such as game playing and robotic control. The cost of data...
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The sharing of scarce resources among multiple rational agents is one of the classical problems in economics. In exchange economies, which are used to...
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We address the problem of comparing fingerphotos, fingerprint images from a
commodity smartphone camera, with the corresponding legacy slap contact-ba...
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Presents IFIR, a comprehensive benchmark created to evaluate the ability of information retrieval systems to follow complex, domain-specific instructi...
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Introduces Plutus-ben, the first Greek financial evaluation benchmark, and Plutus-8B, a Greek Financial LLM, to address gaps in Greek financial NLP du...
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We are witnessing an increasing use of data-driven predictive models to inform decisions. As decisions have implications for individuals and society, ...
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