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pro vyhledávání: '"Halpern, Joseph Y."'
Autor:
Galhotra, Sainyam, Halpern, Joseph Y.
Causal models are crucial for understanding complex systems and identifying causal relationships among variables. Even though causal models are extremely popular, conditional probability calculation of formulas involving interventions pose significan
Externí odkaz:
http://arxiv.org/abs/2405.14728
Autor:
Chockler, Hana, Halpern, Joseph Y.
We focus on explaining image classifiers, taking the work of Mothilal et al. [2021] (MMTS) as our point of departure. We observe that, although MMTS claim to be using the definition of explanation proposed by Halpern [2016], they do not quite do so.
Externí odkaz:
http://arxiv.org/abs/2401.13752
Autor:
Halpern, Joseph Y., Piermont, Evan
We show that it is possible to understand and identify a decision maker's subjective causal judgements by observing her preferences over interventions. Following Pearl [2000], we represent causality using causal models (also called structural equatio
Externí odkaz:
http://arxiv.org/abs/2401.10937
Autor:
Halpern, Joseph Y.
A definition of what counts as an explanation of mathematical statement, and when one explanation is better than another, is given. Since all mathematical facts must be true in all causal models, and hence known by an agent, mathematical facts cannot
Externí odkaz:
http://arxiv.org/abs/2402.09413
Autor:
Geffner, Ivan, Halpern, Joseph Y.
Protocols for tossing a common coin play a key role in the vast majority of implementations of consensus. Even though the common coins in the literature are usually \emph{fair} (they have equal chance of landing heads or tails), we focus on the probl
Externí odkaz:
http://arxiv.org/abs/2312.14775
Publikováno v:
PMLR 216:1741-1751, 2023
Probabilistic dependency graphs (PDGs) are a flexible class of probabilistic graphical models, subsuming Bayesian Networks and Factor Graphs. They can also capture inconsistent beliefs, and provide a way of measuring the degree of this inconsistency.
Externí odkaz:
http://arxiv.org/abs/2311.05580
Autor:
Geffner, Ivan, Halpern, Joseph Y.
We consider $k$-resilient sequential equilibria, strategy profiles where no player in a coalition of at most $k$ players believes that it can increase its utility by deviating, regardless of its local state. We prove that all $k$-resilient sequential
Externí odkaz:
http://arxiv.org/abs/2309.14618
We present Colordag, a blockchain protocol where following the prescribed strategy is, with high probability, a best response as long as all miners have less than 1/2 of the mining power. We prove the correctness of Colordag even if there is an extre
Externí odkaz:
http://arxiv.org/abs/2308.11379
Autor:
Liu, Xinming, Halpern, Joseph Y.
Many studies have shown that humans are "predictably irrational": they do not act in a fully rational way, but their deviations from rational behavior are quite systematic. Our goal is to see the extent to which we can explain and justify these devia
Externí odkaz:
http://arxiv.org/abs/2307.13778
Autor:
Bjorndahl, Adam, Halpern, Joseph Y.
Publikováno v:
EPTCS 379, 2023, pp. 131-141
In earlier work, we introduced the framework of language-based decisions, the core idea of which was to modify Savage's classical decision-theoretic framework by taking actions to be descriptions in some language, rather than functions from states to
Externí odkaz:
http://arxiv.org/abs/2307.07563