Publications
Selected publications. A full list is available on Google Scholar.
2024
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Multiuser Detection With Neural Feature Learning
IEEE Military Communications Conference (MILCOM), 2024
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Dependence Induced Representations
60th Annual Allerton Conference on Communication, Control, and Computing, 2024
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Neural Feature Learning in Function Space
Journal of Machine Learning Research, 25(142), 2024
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Operator SVD with Neural Networks via Nested Low-Rank Approximation
International Conference on Machine Learning (ICML), 2024
2023
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Sequential Dependence Decomposition and Feature Learning
59th Annual Allerton Conference on Communication, Control, and Computing, 2023
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Kernel Subspace and Feature Extraction
IEEE International Symposium on Information Theory (ISIT), 2023, pp. 1032–1037
2022
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On Distributed Learning With Constant Communication Bits
IEEE Journal on Selected Areas in Information Theory, 2022
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An Information Theoretic Interpretation to Deep Neural Networks
Entropy, 24(1):135, 2022
2020
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An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data
IEEE Journal on Selected Areas in Information Theory, 2020
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Maximal Correlation Regression
IEEE Access, 8, 2020, pp. 26591–26601
2018
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The Geometric Structure of Generalized Softmax Learning
IEEE Information Theory Workshop (ITW), Guangzhou, China, November 2018