Young Hun Jung

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 15

Top Topics

Boosting Algorithms

Bandit Problems

Binary Classification

Top Venues

Publications

Joseph J. Pfeiffer III, Denis Charles, Davis Gilton, Young Hun Jung, Mehul Parsana, Erik Anderson
Masked LARk: Masked Learning, Aggregation and Reporting worKflow. CoRR (2021)
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Frank Cheng, Young Hun Jung, Abhishek Gupta, Ürün Dogan
Offline RL With Resource Constrained Online Deployment. CoRR (2021)
Young Hun Jung, Baekjin Kim, Ambuj Tewari
On the Equivalence between Online and Private Learnability beyond Binary Classification. NeurIPS (2020)
Young Hun Jung, Baekjin Kim, Ambuj Tewari
On the Equivalence between Online and Private Learnability beyond Binary Classification. CoRR (2020)
Young Hun Jung, Marc Abeille, Ambuj Tewari
Thompson Sampling in Non-Episodic Restless Bandits. CoRR (2019)
Jacob D. Abernethy, Young Hun Jung, Chansoo Lee, Audra McMillan, Ambuj Tewari
Online Learning via the Differential Privacy Lens. NeurIPS (2019)
Daniel T. Zhang, Young Hun Jung, Ambuj Tewari
Online Boosting for Multilabel Ranking with Top-k Feedback. CoRR (2019)
Young Hun Jung, Ambuj Tewari
Regret Bounds for Thompson Sampling in Restless Bandit Problems. CoRR (2019)
Daniel T. Zhang, Young Hun Jung, Ambuj Tewari
Online Multiclass Boosting with Bandit Feedback. AISTATS (2019)
Young Hun Jung, Ambuj Tewari
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems. NeurIPS (2019)
Young Hun Jung, Ambuj Tewari
Online Boosting Algorithms for Multi-label Ranking. AISTATS (2018)
Daniel T. Zhang, Young Hun Jung, Ambuj Tewari
Online Multiclass Boosting with Bandit Feedback. CoRR (2018)
Young Hun Jung, Ambuj Tewari
Online Boosting Algorithms for Multi-label Ranking. CoRR (2017)
Young Hun Jung, Ambuj Tewari
Online Multiclass Boosting. CoRR (2017)
Young Hun Jung, Jack Goetz, Ambuj Tewari
Online multiclass boosting. NIPS (2017)