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We study preferences estimated from finite choice experiments and provide sufficient conditions for convergence to a unique underlying "true" preference. Our conditions are weak, and therefore valid in a wide range of economic environments.…

Theoretical Economics · Economics 2020-11-03 Christopher P. Chambers , Federico Echenique , Nicolas Lambert

We say a model is continuous in utilities (resp., preferences) if small perturbations of utility functions (resp., preferences) generate small changes in the model's outputs. While similar, these two questions are different. They are only…

Theoretical Economics · Economics 2024-03-05 Pablo Schenone

We propose a method to determine the topological structure of an event horizon far in the future of a spacetime from the geometrical information of its future null infinity. In the present article, we mainly consider spacetimes with two…

General Relativity and Quantum Cosmology · Physics 2007-05-23 S. Tomizawa , M. Siino

Personalized learning systems are almost universally designed around a single objective: help people acquire knowledge and skills more efficiently. We argue this framing misses the more consequential problem. The most damaging failures in…

Artificial Intelligence · Computer Science 2026-04-14 Yuan Sun , Hong Yi , Jinyuan Liu

We study correlations in temporal networks and introduce the notion of betweenness preference. It allows to quantify to what extent paths, existing in time-aggregated representations of temporal networks, are actually realizable based on…

Physics and Society · Physics 2015-03-20 René Pfitzner , Ingo Scholtes , Antonios Garas , Claudio J. Tessone , Frank Schweitzer

We propose a novel system for action sequence planning based on a combination of affordance recognition and a neural forward model predicting the effects of affordance execution. By performing affordance recognition on predicted futures, we…

Robotics · Computer Science 2022-06-23 Solvi Arnold , Mami Kuroishi , Tadashi Adachi , Kimitoshi Yamazaki

I study how past and future choices are linked in the framework of attention. Attention cannot be observed but past choices are necessarily considered in future decisions. This link connects two types of rationality violations,…

Theoretical Economics · Economics 2024-03-05 Xi Zhi Lim

We consider sequential decision problems in which we adaptively choose one of finitely many alternatives and observe a stochastic reward. We offer a new perspective of interpreting Bayesian ranking and selection problems as adaptive…

Machine Learning · Computer Science 2016-06-16 Yingfei Wang , Warren Powell

This paper explores a new class of incomplete preferences -- termed ``connected preferences'' -- in which maximal domains of comparability are topologically connected. We provide necessary and sufficient conditions for continuous…

Theoretical Economics · Economics 2026-05-01 Leandro Gorno , Alessandro Rivello

Monotonicity and recursivity are central assumptions in intertemporal consumption problems under ambiguity. We show that monotone recursive preferences admit both a recursive and an ex-ante representation, and that the certainty equivalent…

Theoretical Economics · Economics 2026-01-23 Massimo Marinacci , Giulio Principi , Lorenzo Stanca

We study an intertemporal consumption and portfolio choice problem under Knightian uncertainty in which agent's preferences exhibit local intertemporal substitution. We also allow for market frictions in the sense that the pricing…

Optimization and Control · Mathematics 2020-11-10 Giorgio Ferrari , Hanwu Li , Frank Riedel

Predicting customer future purchases and lifetime value is a key metrics for managing marketing campaigns and optimizing marketing spend. This task is specifically challenging when the relationships between the customer and the firm are of…

Machine Learning · Computer Science 2021-02-12 Ziv Pollak

In this article, we address the question of how non-knowledge about future events that influence economic agents' decisions in choice settings has been formally represented in economic theory up to date. To position our discussion within…

General Finance · Quantitative Finance 2012-09-12 Ekaterina Svetlova , Henk van Elst

Accurately identifying items forgotten during a supermarket visit and providing clear, interpretable explanations for recommending them remains an underexplored problem within the Next Basket Prediction (NBP) domain. Existing NBP approaches…

This paper studies robust forward investment and consumption preferences within a zero-volatility context. Different from previous works, we consider an incomplete financial market model due to general investment portfolio constraints. We…

Mathematical Finance · Quantitative Finance 2023-11-20 Wing Fung Chong , Gechun Liang

We investigate the teaching of infinite concept classes through the effect of the learning bias (which is used by the learner to prefer some concepts over others and by the teacher to devise the teaching examples) and the sampling bias…

Artificial Intelligence · Computer Science 2018-04-20 Jose Hernandez-Orallo , Jan Arne Telle

The nexus between debt and inequality has attracted considerable scholarly attention in the wake of the global financial crisis. One prominent candidate to explain the striking co-evolution of income inequality and private debt in this…

General Economics · Economics 2022-04-05 Jan Schulz , Daniel M. Mayerhoffer

There is a consensus that human and non-human subjects experience temporal distortions in many stages of their perceptual and decision-making systems. Similarly, intertemporal choice research has shown that decision-makers undervalue future…

Neurons and Cognition · Quantitative Biology 2016-05-31 Pedro A. Ortega , Naftali Tishby

This paper studies robust forward investment and consumption preferences and optimal strategies for a risk-averse and ambiguity-averse agent in an incomplete financial market with drift and volatility uncertainties. We focus on non-zero…

Portfolio Management · Quantitative Finance 2025-09-17 Wing Fung Chong , Gechun Liang

Top-N recommendation aims to recommend each consumer a small set of N items from a large collection of items, and its accuracy is one of the most common indexes to evaluate the performance of a recommendation system. While a large number of…

Information Retrieval · Computer Science 2023-03-24 En Xu , Zhiwen Yu , Ying Zhang , Bin Guo , Lina Yao
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