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06/22/2022
A Study on Modularity Density Maximization: Column Generation Acceleration and Computational Complexity Analysis
Community detection is a fundamental network-analysis primitive with a v...
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03/19/2022
Convergence Error Analysis of Reflected Gradient Langevin Dynamics for Globally Optimizing Non-Convex Constrained Problems
Non-convex optimization problems have various important applications, wh...
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05/28/2021
A Gradient Method for Multilevel Optimization
Although application examples of multilevel optimization have already be...
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03/11/2021
BODAME: Bilevel Optimization for Defense Against Model Extraction
Model extraction attacks have become serious issues for service provider...
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05/31/2020
Theory and Algorithms for Shapelet-based Multiple-Instance Learning
We propose a new formulation of Multiple-Instance Learning (MIL), in whi...
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02/16/2020
Convex Fairness Constrained Model Using Causal Effect Estimators
Recent years have seen much research on fairness in machine learning. He...
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11/20/2018
Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers
We propose a new formulation of Multiple-Instance Learning (MIL). In typ...
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09/13/2018
Robust Densest Subgraph Discovery
Dense subgraph discovery is an important primitive in graph mining, whic...
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06/15/2018
Robust Bayesian Model Selection for Variable Clustering with the Gaussian Graphical Model
Variable clustering is important for explanatory analysis. However, only...
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04/19/2018
A refined convergence analysis of pDCA_e with applications to simultaneous sparse recovery and outlier detection
We consider the problem of minimizing a difference-of-convex (DC) functi...
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11/20/2017
Optimistic Robust Optimization With Applications To Machine Learning
Robust Optimization has traditionally taken a pessimistic, or worst-case...
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10/16/2017
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems
We consider a class of nonconvex nonsmooth optimization problems whose o...
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03/09/2017
Trimmed Density Ratio Estimation
Density ratio estimation is a vital tool in both machine learning and st...
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04/30/2012
