Maaten, Laurens

7 publications

ICML 2022 Bounding Training Data Reconstruction in Private (Deep) Learning Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens Maaten

UAI 2021 Measuring Data Leakage in Machine-Learning Models with Fisher Information Awni Hannun, Chuan Guo, Laurens Maaten

ICML 2013 Learning with Marginalized Corrupted Features Laurens Maaten, Minmin Chen, Stephen Tyree, Kilian Weinberger

AISTATS 2011 Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” Laurens Maaten

AISTATS 2011 Hidden-Unit Conditional Random Fields Laurens Maaten, Max Welling, Lawrence Saul

NeurIPS 2010 Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development Diane Hu, Laurens Maaten, Youngmin Cho, Sorin Lerner, Lawrence K. Saul

NeurIPS 2010 On Herding and the Perceptron Cycling Theorem Andrew Gelfand, Yutian Chen, Laurens Maaten, Max Welling