5 citations · 8 across the 5 of their papers we have counts for
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Nonparametric Online Learning Using Lipschitz Regularized Deep Neural Networks
Guy Uziel
Deep neural networks are considered to be state of the art models in many offline machine learning tasks. However, their performance and generalization abilities in online learning…
Deep Online Learning with Stochastic Constraints
Guy Uziel
Deep learning models are considered to be state-of-the-art in many offline machine learning tasks. However, many of the techniques developed are not suitable for online learning ta…
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Yonatan Geifman, Guy Uziel, Ran El-Yaniv
We consider the problem of uncertainty estimation in the context of (non-Bayesian) deep neural classification. In this context, all known methods are based on extracting uncertaint…
Multi-Objective Non-parametric Sequential Prediction
Guy Uziel, Ran El-Yaniv
Online-learning research has mainly been focusing on minimizing one objective function. In many real-world applications, however, several objective functions have to be considered…
Online Learning of Portfolio Ensembles with Sector Exposure Regularization
Guy Uziel, Ran El-Yaniv
We consider online learning of ensembles of portfolio selection algorithms and aim to regularize risk by encouraging diversification with respect to a predefined risk-driven groupi…