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stat.ML2013★ 260 cited
Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang, Percy Liang
Dropout and other feature noising schemes control overfitting by artificially corrupting the training data. For generalized linear models, dropout performs a form of adaptive regul…
cs.LG2013★ 56 cited
Spectral Experts for Estimating Mixtures of Linear Regressions
Arun Tejasvi Chaganty, Percy Liang
Discriminative latent-variable models are typically learned using EM or gradient-based optimization, which suffer from local optima. In this paper, we develop a new computationally…