Rick Sanchez
18/07/2024
ai upcoming event
Institute for the Study of Learning and Expertise, Palo Alto, California
Rick sanchez was a cartoon character from show rick nand morty lalalalallalalalala very interesting example text very interesting example text very interesting example text very interesting example text very interesting example text very interesting example text very interesting example text
Inferential methods attempt to understand data and make predictions about the word by explicitly formulating generative models and fitting them. By this process, these methods are able to provide insight on mechanisms, and optimally deal with uncertainty and separate structure from noise. Probabilistically, all the information relevant to an inference problem is captured by the posterior distribution, which quantifies the plausibility of models given the data. This posterior distribution has contributions from the likelihood, which reflects the ability of the model to explain the observed data, and the prior, which encodes for previous knowledge about the system. In this talk, we will discuss how the competition between these two terms induces detectability transitions; these are crucial to understand when inference can work and give useful results, and when it is guaranteed to fail. We will discuss these transitions in the context of two machine learning settings: network-based recommender systems and equati
18/07/2024
ai upcoming event
Inferential methods attempt to understand data and make predictions about the word by explicitly formulating generative models and fitting them. By this process, these methods are able to provide insight on mechanisms, and optimally deal with uncertainty and separate structure from noise. Probabilistically, all the information relevant to an inference problem is captured by the posterior distribution, which quantifies the plausibility of models given the data. This posterior distribution has contributions from the likelihood, which reflects the ability of the model to explain the observed data, and the prior, which encodes for previous knowledge about the system. In this talk, we will discuss how the competition between these two terms induces detectability transitions; these are crucial to understand when inference can work and give useful results, and when it is guaranteed to fail. We will discuss these transitions in the context of two machine learning settings: network-based recommender systems and equati
Rick Sanchez
Institute for the Study of Learning and Expertise, Palo Alto, California
Rick sanchez was a cartoon character from show rick nand morty lalalalallalalalala very interesting example text very interesting example text very interesting example text very interesting example text very interesting example text very interesting example text very interesting example text
