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05/02/2023
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective
Recently, information theoretic analysis has become a popular framework ...
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11/30/2022
Robust and Fast Measure of Information via Low-rank Representation
The matrix-based Rényi's entropy allows us to directly quantify informat...
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05/16/2022
Optimal Randomized Approximations for Matrix based Renyi's Entropy
The Matrix-based Renyi's entropy enables us to directly measure informat...
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12/27/2021
Computationally Efficient Approximations for Matrix-based Renyi's Entropy
The recently developed matrix based Renyi's entropy enables measurement ...
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12/12/2021
Markov subsampling based Huber Criterion
Subsampling is an important technique to tackle the computational challe...
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12/09/2021
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment
Modal regression, a widely used regression protocol, has been extensivel...
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01/15/2020