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Taehyun Hwang

4 papers · 2023–2025 · 4 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 Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (13) πŸ† Grand Slam πŸ† Keyword Champion (2)

Venues

AAAI (1) ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Min-hwan Oh (4) Joongkyu Lee (1) Wooseong Cho (1) Harin Lee (1) Kyuwook Chai (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Learning Types Β· Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Reinforcement Learning (2) Core AI (2) Methods (2) Mathematics & Optimization (1) Architectures (1) Learning Types Β· Deep Learning (1) Optimization (1)

Keywords

regret bound (4) function approximation (2) markov decision process (2) multinomial logistic (2) thompson sampling (1) margin condition (1) upper confidence bound (1) contextual bandit (1) combinatorial bandit (1) exploration strategy (1) randomized exploration (1) frequentist regret (1) transition model (1) neural network (1) sparse linear bandit (1) multinomial logistic model (1) optimistic sampling (1) compatibility condition (1) neural tangent kernel (1) forced sampling (1)

Papers

Lasso Bandit with Compatibility Condition on Optimal Arm ICLR 2025 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Combinatorial Neural Bandits ICML 2023 Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation AAAI 2023