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09/12/2023
On Regularized Sparse Logistic Regression
Sparse logistic regression aims to perform classification and feature se...
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07/16/2023
MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning
Numerical software is usually shipped with built-in hyperparameters. By ...
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01/04/2023
Multi-Task Learning with Prior Information
Multi-task learning aims to boost the generalization performance of mult...
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09/06/2022
Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective
Nonnegative matrix factorization (NMF) is widely used for clustering wit...
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06/27/2022
DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning
Outsourcing anomaly detection to third-parties can allow data owners to ...
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05/21/2022
Enriched Robust Multi-View Kernel Subspace Clustering
Subspace clustering is to find underlying low-dimensional subspaces and ...
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09/20/2020
R^2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions
Differential privacy (DP) has emerged as a de facto standard privacy not...
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09/05/2019
Free resolutions of function classes via order complexes
Function classes are collections of Boolean functions on a finite set, w...
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12/23/2017