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19 Nov 2023: Computer Science: Artificial Intelligence, computer vision, information retrieval,. • Statistics: learning theory, data mining, learning and inference from data,. • ... Computational Neuroscience: neuronal networks, neural information processing,.

27 Jan 2023: Unsupervised Learning. Week 1: Introduction, Statistical Basics,and a bit of Information Theory. ... Cognitive Science: computational linguistics, philosophy of mind,. • Economics: decision theory, game theory, operational research. •

16 May 2024: 2 A. Weller. (D) In some settings, more transparency can lead to less efficiency (Section 4 re-views related work in economics, multi-agent game theory and network routing),fairness (Section ... 4 Economics and Multi-Agent Game Theory. In an economy,

13 Feb 2023: We develop new supporting theory for PVI, demonstrating a number of properties that make it an attractive choice for practitioners; use PVI to unify a wealth of fragmented, yet related literature; ... optimization problem using the theory of Reproducing

16 May 2024: In this paper, we draw inspiration from the fair-division and envy-freeness literature in economics and game theory and proposepreference-based notions of fairness—given the choice between various sets ... In this work, we introduce, formalize and

13 Feb 2023: This begets competition for the finite user attention pool. We formalize these dynamics in what we call an exposure game, a model of incentives induced by algorithms including modern factorization and ... Bayesian neural networks have a simple weight

13 Feb 2023: The theory we develop is based on interpreting activation functions as interdomain inducing features through a rigorous analysis of the interplay between activation functions and kernels. ... To provide evidence that our method can be beneficial not only