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 Young Hun Jung

Young Hun Jung
Alert button

Masked LARk: Masked Learning, Aggregation and Reporting worKflow


Oct 27, 2021
Joseph J. Pfeiffer III, Denis Charles, Davis Gilton, Young Hun Jung, Mehul Parsana, Erik Anderson

Add code
Alert button

Figure 1 for Masked LARk: Masked Learning, Aggregation and Reporting worKflow
Figure 2 for Masked LARk: Masked Learning, Aggregation and Reporting worKflow
Figure 3 for Masked LARk: Masked Learning, Aggregation and Reporting worKflow
Figure 4 for Masked LARk: Masked Learning, Aggregation and Reporting worKflow
* Microsoft Journal of Applied Research (MSJAR Volume 16) 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Offline RL With Resource Constrained Online Deployment


Oct 07, 2021
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Frank Cheng, Young Hun Jung, Abhishek Gupta, Urun Dogan

Add code
Alert button

Figure 1 for Offline RL With Resource Constrained Online Deployment
Figure 2 for Offline RL With Resource Constrained Online Deployment
Figure 3 for Offline RL With Resource Constrained Online Deployment
Figure 4 for Offline RL With Resource Constrained Online Deployment

   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 Equivalence between Online and Private Learnability beyond Binary Classification


Jun 02, 2020
Young Hun Jung, Baekjin Kim, Ambuj Tewari

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

Online Boosting for Multilabel Ranking with Top-k Feedback


Nov 06, 2019
Daniel T. Zhang, Young Hun Jung, Ambuj Tewari

Add code
Alert button

Figure 1 for Online Boosting for Multilabel Ranking with Top-k Feedback
Figure 2 for Online Boosting for Multilabel Ranking with Top-k Feedback
Figure 3 for Online Boosting for Multilabel Ranking with Top-k Feedback
Figure 4 for Online Boosting for Multilabel Ranking with Top-k Feedback
* Under review for AISTATS 2020 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Thompson Sampling in Non-Episodic Restless Bandits


Oct 12, 2019
Young Hun Jung, Marc Abeille, Ambuj Tewari

Add code
Alert button

Figure 1 for Thompson Sampling in Non-Episodic Restless Bandits
Figure 2 for Thompson Sampling in Non-Episodic Restless Bandits
Figure 3 for Thompson Sampling in Non-Episodic Restless Bandits

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

Regret Bounds for Thompson Sampling in Restless Bandit Problems


May 29, 2019
Young Hun Jung, Ambuj Tewari

Add code
Alert button

Figure 1 for Regret Bounds for Thompson Sampling in Restless Bandit Problems
Figure 2 for Regret Bounds for Thompson Sampling in Restless Bandit Problems

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

Online Multiclass Boosting with Bandit Feedback


Oct 11, 2018
Daniel Zhang, Young Hun Jung, Ambuj Tewari

Add code
Alert button

Figure 1 for Online Multiclass Boosting with Bandit Feedback
Figure 2 for Online Multiclass Boosting with Bandit Feedback
Figure 3 for Online Multiclass Boosting with Bandit Feedback
Figure 4 for Online Multiclass Boosting with Bandit Feedback

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

Fighting Contextual Bandits with Stochastic Smoothing


Oct 11, 2018
Young Hun Jung, Ambuj Tewari

Add code
Alert button

Figure 1 for Fighting Contextual Bandits with Stochastic Smoothing

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

Online Boosting Algorithms for Multi-label Ranking


Feb 25, 2018
Young Hun Jung, Ambuj Tewari

Add code
Alert button

Figure 1 for Online Boosting Algorithms for Multi-label Ranking
Figure 2 for Online Boosting Algorithms for Multi-label Ranking
Figure 3 for Online Boosting Algorithms for Multi-label Ranking
* 12pages 
   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
>>