Young Hun Jung

15 papers A* 3A 2Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2021 J jnl
Masked LARk: Masked Learning, Aggregation and Reporting worKflow.
CoRR
Joseph J. Pfeiffer III, Denis Charles, Davis Gilton, Young Hun Jung, Mehul Parsana, Erik Anderson
2021 J jnl
Offline RL With Resource Constrained Online Deployment.
CoRR
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Frank Cheng, Young Hun Jung, Abhishek Gupta, Ürün Dogan
2020 A* conf
On the Equivalence between Online and Private Learnability beyond Binary Classification.
NeurIPS
Young Hun Jung, Baekjin Kim, Ambuj Tewari
2020 J jnl
On the Equivalence between Online and Private Learnability beyond Binary Classification.
CoRR
Young Hun Jung, Baekjin Kim, Ambuj Tewari
2019 J jnl
Online Boosting for Multilabel Ranking with Top-k Feedback.
CoRR
Daniel T. Zhang, Young Hun Jung, Ambuj Tewari
2019 A* conf
Online Learning via the Differential Privacy Lens.
NeurIPS
Jacob D. Abernethy, Young Hun Jung, Chansoo Lee, Audra McMillan, Ambuj Tewari
2019 A conf
Online Multiclass Boosting with Bandit Feedback.
AISTATS
Daniel T. Zhang, Young Hun Jung, Ambuj Tewari
2019 A* conf
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems.
NeurIPS
Young Hun Jung, Ambuj Tewari
2019 J jnl
Regret Bounds for Thompson Sampling in Restless Bandit Problems.
CoRR
Young Hun Jung, Ambuj Tewari
2019 J jnl
Thompson Sampling in Non-Episodic Restless Bandits.
CoRR
Young Hun Jung, Marc Abeille, Ambuj Tewari
2018 A conf
Online Boosting Algorithms for Multi-label Ranking.
AISTATS
Young Hun Jung, Ambuj Tewari
2018 J jnl
Online Multiclass Boosting with Bandit Feedback.
CoRR
Daniel T. Zhang, Young Hun Jung, Ambuj Tewari
2017 J jnl
Online Boosting Algorithms for Multi-label Ranking.
CoRR
Young Hun Jung, Ambuj Tewari
2017 J jnl
Online Multiclass Boosting.
CoRR
Young Hun Jung, Ambuj Tewari
2017 — conf
Online multiclass boosting.
NIPS
Young Hun Jung, Jack Goetz, Ambuj Tewari