Barbara E. Engelhardt
3 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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Nested Policy Reinforcement Learning.
2021 · arXiv (Cornell University)
Off-policy reinforcement learning (RL) has proven to be a powerful framework for guiding agents' actions in environments with stochastic rewards and unknown or noisy state dynamics. In many real-world settings, these agents must operate in …
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Bayesian Non-linear Latent Variable Modeling via Random Fourier Features
2023 · arXiv (Cornell University)
The Gaussian process latent variable model (GPLVM) is a popular probabilistic method used for nonlinear dimension reduction, matrix factorization, and state-space modeling. Inference for GPLVMs is computationally tractable only when the data likelihood is Gaussian. …
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How algorithmic confounding in recommendation systems increases homogeneity and decreases utility
2018
Recommendation systems are ubiquitous and impact many domains; they have the potential to influence product consumption, individuals' perceptions of the world, and life-altering decisions. These systems are often evaluated or trained with data from users …