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09/18/2023
A Geometric Framework for Neural Feature Learning
We present a novel framework for learning system design based on neural ...
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01/04/2023
Kernel Subspace and Feature Extraction
We study kernel methods in machine learning from the perspective of feat...
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09/14/2021
On Distributed Learning with Constant Communication Bits
In this paper, we study a distributed learning problem constrained by co...
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08/24/2021
Maximum Likelihood Estimation for Multimodal Learning with Missing Modality
Multimodal learning has achieved great successes in many scenarios. Comp...
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10/08/2019
An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data
In this paper, we propose an information-theoretic approach to design th...
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06/30/2019
On the Sample Complexity of HGR Maximal Correlation Functions
The Hirschfeld-Gebelein-Rényi (HGR) maximal correlation and the correspo...
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05/16/2019
An Information Theoretic Interpretation to Deep Neural Networks
It is commonly believed that the hidden layers of deep neural networks (...
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11/22/2018