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Young Hun Jung
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Year
Regret bounds for thompson sampling in episodic restless bandit problems
YH Jung, A Tewari
Advances in Neural Information Processing Systems, 9007-9016, 2019
402019
Online multiclass boosting
YH Jung, J Goetz, A Tewari
Advances in neural information processing systems 30, 919-928, 2017
342017
Thompson Sampling in Non-Episodic Restless Bandits
YH Jung, M Abeille, A Tewari
arXiv preprint arXiv:1910.05654, 2019
242019
Online boosting algorithms for multi-label ranking
YH Jung, A Tewari
International Conference on Artificial Intelligence and Statistics, 279-287, 2018
242018
On the equivalence between online and private learnability beyond binary classification
Y Jung, B Kim, A Tewari
Advances in Neural Information Processing Systems 33, 16701-16710, 2020
202020
Online Learning via the Differential Privacy Lens
JD Abernethy, YH Jung, C Lee, A McMillan, A Tewari
Advances in Neural Information Processing Systems, 8894-8904, 2019
152019
Online multiclass boosting with bandit feedback
DT Zhang, YH Jung, A Tewari
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
82019
Masked LARk: Masked Learning, Aggregation and Reporting worKflow
JJ Pfeiffer III, D Charles, D Gilton, YH Jung, M Parsana, E Anderson
arXiv preprint arXiv:2110.14794, 2021
72021
Offline RL With Resource Constrained Online Deployment
JR Regatti, AA Deshmukh, F Cheng, YH Jung, A Gupta, U Dogan
arXiv preprint arXiv:2110.03165, 2021
42021
Online boosting for multilabel ranking with top-k feedback
V Raman, DT Zhang, YH Jung, A Tewari
arXiv preprint arXiv:1910.10937, 2019
12019
Offline RL With Resource Constrained Online Deployment
J Reddy Regatti, A Anand Deshmukh, F Cheng, YH Jung, A Gupta, ...
arXiv e-prints, arXiv: 2110.03165, 2021
2021
Offline Reinforcement Learning with Resource Constrained Online Deployment
JR Regatti, AA Deshmukh, YH Jung, F Cheng, A Gupta, U Dogan
2021
New Directions in Online Learning: Boosting, Partial Information, and Non-Stationarity
YH Jung
2020
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Articles 1–13