סמינרים
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(Neuro)Cognitive Constraints in Decision-Making: From Consumer Behavior to Strategic Choice
ABSTRACT The human mind has finite computational cognitive capacity. First, I will briefly discuss how specific neurobiologically defined cognitive limitations can yield improved behavioral models of inconsistencies and context-effects in individual decision-making and in consumer choice. Then, I will devote the bulk of the talk to a similar analysis of strategic choice. Classical game theory… Continue Reading (Neuro)Cognitive Constraints in Decision-Making: From Consumer Behavior to Strategic Choice
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Computational and Statistical Limits in Modern Machine Learning – Job Talk
Abstract: Modern machine learning systems operate in regimes that challenge classical learning-theoretic assumptions. Models are highly overparameterized, trained with simple optimization algorithms, and rely critically on how data is collected and curated. Understanding the limits of learning in these settings requires revisiting both the computational and statistical foundations of learning theory. A central question in learning… Continue Reading Computational and Statistical Limits in Modern Machine Learning – Job Talk
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Aligning Machine Learning with Society
Abstract: Machine Learning (ML) systems are increasingly integrated into society, but challenges arise when human incentives and expectations are overlooked. In this talk, I will present frameworks for aligning ML with society, focusing on strategic classification and personalization in decision-making. Strategic classification models scenarios where individuals, aware of the deployed classifier, manipulate their observable attributes… Continue Reading Aligning Machine Learning with Society
