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Information-Theoretic Understanding of Population Risk Improvement with
  Model Compression

Information-Theoretic Understanding of Population Risk Improvement with Model Compression

27 January 2019
Yuheng Bu
Weihao Gao
Shaofeng Zou
V. Veeravalli
    MedIm
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Papers citing "Information-Theoretic Understanding of Population Risk Improvement with Model Compression"

6 / 6 papers shown
Title
Tighter Expected Generalization Error Bounds via Convexity of
  Information Measures
Tighter Expected Generalization Error Bounds via Convexity of Information Measures
Gholamali Aminian
Yuheng Bu
G. Wornell
Miguel R. D. Rodrigues
11
22
0
24 Feb 2022
An Information-theoretical Approach to Semi-supervised Learning under
  Covariate-shift
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Gholamali Aminian
Mahed Abroshan
Mohammad Mahdi Khalili
Laura Toni
M. Rodrigues
OOD
33
27
0
24 Feb 2022
Characterizing the Generalization Error of Gibbs Algorithm with
  Symmetrized KL information
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information
Gholamali Aminian
Yuheng Bu
Laura Toni
M. Rodrigues
G. Wornell
30
4
0
28 Jul 2021
Knowledge Distillation as Semiparametric Inference
Knowledge Distillation as Semiparametric Inference
Tri Dao
G. Kamath
Vasilis Syrgkanis
Lester W. Mackey
40
31
0
20 Apr 2021
Tightening Mutual Information Based Bounds on Generalization Error
Tightening Mutual Information Based Bounds on Generalization Error
Yuheng Bu
Shaofeng Zou
V. Veeravalli
19
169
0
15 Jan 2019
Rate Distortion For Model Compression: From Theory To Practice
Rate Distortion For Model Compression: From Theory To Practice
Weihao Gao
Yu-Han Liu
Chong-Jun Wang
Sewoong Oh
30
31
0
09 Oct 2018
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