Vincent Zhuang
7 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Academic Marathon (7) π£ Hot Topic Early Bird π Cross-Pollinator (15) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π₯
Mega-Team
(49)
π
Trend Setter
Conferences
ICLR (3)
AISTATS (1)
ICML (1)
NIPS (1)
RSS (1)
Top co-authors
Keywords
bayesian optimization
(2)
gaussian process
(2)
hyperparameter optimization
(1)
sequential decision making
(1)
human-robot interaction
(1)
sparse approximation
(1)
constraint satisfaction
(1)
robust estimation
(1)
regret bound
(1)
heavy-tailed distribution
(1)
safety constraint
(1)
safe optimization
(1)
robust mean estimation
(1)
heavy-tailed reward
(1)
clinical practice
(1)
undiscounted reinforcement learning
(1)
reinforcement learning algorithm
(1)
language model predictive control
(1)
deep reinforcement learning
(1)
robot code generation
(1)
Papers
Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
ICLR 2025
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
ICLR 2025
Training Language Models to Self-Correct via Reinforcement Learning
ICLR 2025
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
NIPS 2024
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2021
Stagewise Safe Bayesian Optimization with Gaussian Processes
ICML 2018