Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Guang Cheng

Guang Cheng
Alert button

Utility Theory of Synthetic Data Generation


May 17, 2023
Shirong Xu, Will Wei Sun, Guang Cheng

Add code
Alert button


   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm


Mar 13, 2023
Huiming Zhang, Haoyu Wei, Guang Cheng

Add code
Alert button

Figure 1 for Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm
Figure 2 for Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm
Figure 3 for Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm
Figure 4 for Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms


Jan 25, 2023
Ximing Li, Chendi Wang, Guang Cheng

Add code
Alert button

Figure 1 for Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Double Matching Under Complementary Preferences


Jan 24, 2023
Yuantong Li, Guang Cheng, Xiaowu Dai

Add code
Alert button

Figure 1 for Double Matching Under Complementary Preferences
Figure 2 for Double Matching Under Complementary Preferences
Figure 3 for Double Matching Under Complementary Preferences
Figure 4 for Double Matching Under Complementary Preferences

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Ranking Differential Privacy


Jan 02, 2023
Shirong Xu, Will Wei Sun, Guang Cheng

Add code
Alert button

Figure 1 for Ranking Differential Privacy
Figure 2 for Ranking Differential Privacy
Figure 3 for Ranking Differential Privacy
Figure 4 for Ranking Differential Privacy
* 59 pages, 8 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation


Nov 28, 2022
Yucong Liu, Chi-Hua Wang, Guang Cheng

Add code
Alert button

Figure 1 for On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation
Figure 2 for On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation
Figure 3 for On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation
Figure 4 for On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Improving Adversarial Robustness by Contrastive Guided Diffusion Process


Oct 18, 2022
Yidong Ouyang, Liyan Xie, Guang Cheng

Add code
Alert button

Figure 1 for Improving Adversarial Robustness by Contrastive Guided Diffusion Process
Figure 2 for Improving Adversarial Robustness by Contrastive Guided Diffusion Process
Figure 3 for Improving Adversarial Robustness by Contrastive Guided Diffusion Process
Figure 4 for Improving Adversarial Robustness by Contrastive Guided Diffusion Process

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies


Oct 12, 2022
Zhanyu Wang, Guang Cheng, Jordan Awan

Add code
Alert button

Figure 1 for Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
Figure 2 for Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
Figure 3 for Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
Figure 4 for Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fair Bayes-Optimal Classifiers Under Predictive Parity


May 15, 2022
Xianli Zeng, Edgar Dobriban, Guang Cheng

Add code
Alert button

Figure 1 for Fair Bayes-Optimal Classifiers Under Predictive Parity
Figure 2 for Fair Bayes-Optimal Classifiers Under Predictive Parity
Figure 3 for Fair Bayes-Optimal Classifiers Under Predictive Parity
Figure 4 for Fair Bayes-Optimal Classifiers Under Predictive Parity

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Rate-Optimal Contextual Online Matching Bandit


May 07, 2022
Yuantong Li, Chi-hua Wang, Guang Cheng, Will Wei Sun

Add code
Alert button

Figure 1 for Rate-Optimal Contextual Online Matching Bandit
Figure 2 for Rate-Optimal Contextual Online Matching Bandit
Figure 3 for Rate-Optimal Contextual Online Matching Bandit
Figure 4 for Rate-Optimal Contextual Online Matching Bandit
* 43 pages, 9 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
5
6
7
>>