Statistical Learning
Variational Bayesian Unlearning Quoc Phong Nguyen, Bryan Kian Hsiang Low, and Patrick Jaillet
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We propose two novel tricks to tackle this challenge.
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Private Estimation with Public Data
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Differential privacy (DP) [ DMNS06 ] guarantees the privacy of every point in a dataset.
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The Diversified Ensemble Neural Network
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In contrast, decision tree models are known more robust to overfitting, and also more efficient.
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Decentralized Langevin Dynamics for Bayesian Learning
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The performance of the proposed algorithm is evaluated on a wide variety of machine learning tasks.
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PLLay: Efficient Topological Layer based on Persistence Landscapes
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With its strong generalizability, deep learning has been pervasively applied in machine learning.
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