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Optimization in sparse learning
2019Nowadays, the explosive data scale increase provides an unprecedented opportunity to apply machine learning methods in various application domains. The high-dimension data representation proposes curse of dimension challenge to machine learning models. Sparse model offers a tool that can alleviate this challenge by learning a low-dimension feature and ...
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Optimally Sparse Data Representations
2015This chapter is dedicated to the question of how to efficiently encode a given class of signals. We introduce several mathematical techniques to construct optimal data representations for a number of signal types. Specifically we study the optimal approximation of functions governed by anisotropic singularities such as edges in images.
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Optimizing sparse computations jointly
Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2022Kazem Cheshmi +2 more
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Optimized Sparse Sampling Lattices
2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022Peter Vouras +5 more
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An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems
IEEE Transactions on Evolutionary Computation, 2020Ye Tian, Xingyi Zhang, Chao Wang
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