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Found 6 papers, 0 papers with code
Multilingual Clinical NER: Translation or Cross-lingual Transfer?
However, other methods leveraging translation models can be used to perform NER without annotated data in the target language, by either translating the training set or test set.
Quantitative Propagation of Chaos for SGD in Wide Neural Networks
In comparison to previous works on the subject, we consider settings in which the sequence of stepsizes in SGD can potentially depend on the number of neurons and the iterations.
Convergence rates and approximation results for SGD and its continuous-time counterpart
This paper proposes a thorough theoretical analysis of Stochastic Gradient Descent (SGD) with non-increasing step sizes.
Online A-Optimal Design and Active Linear Regression
By trying to minimize the $\ell^2$-loss $\mathbb{E} [\lVert\hat{\beta}-\beta^{\star}\rVert^2]$ the decision maker is actually minimizing the trace of the covariance matrix of the problem, which corresponds then to online A-optimal design.
An adaptive stochastic optimization algorithm for resource allocation
This can be recast as a specific stochastic optimization problem where the objective is to maximize the cumulative reward, or equivalently to minimize the regret.
Regularized Contextual Bandits
We consider the stochastic contextual bandit problem with additional regularization.
