Young Hun Jung

5 papers · 2017–2019 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

NeurIPS (3) AISTATS (2)

Top co-authors

Ambuj Tewari (5) Chansoo Lee (1) Daniel T. Zhang (1) Jacob D. Abernethy (1) Audra McMillan (1) Jack Goetz (1)

Research topics

Machine Learning (5) Learning Types · Machine Learning (5) Core Methods (3) Optimization & Theory (3) Mathematics & Optimization (2) Optimization (2) Artificial Intelligence (1) Deep Learning (1) Application Areas (1) Bayesian & Probabilistic (1) Core AI (1) Learning Types · Deep Learning (1)

Keywords

regret bound (3) weak learner (3) multi-armed bandit (2) online boosting (2) multi-class classification (2) online learning (2) multiclass boosting (1) thompson sampling (1) bayesian regret (1) adaptive algorithm (1) ensemble method (1) whittle index (1) restless bandit (1) multi-label ranking (1) weak learning (1) differential privacy (1) loss bound (1) regret analysis (1) sequential decision making (1) algorithmic stability (1)

Papers

Online Learning via the Differential Privacy Lens NeurIPS 2019 Online Multiclass Boosting with Bandit Feedback AISTATS 2019 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 Online Boosting Algorithms for Multi-label Ranking AISTATS 2018 Online multiclass boosting NeurIPS 2017