Vincent Zhuang
7 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18)
π₯
Mega-Team Β· Squad
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Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(4)
Optimization & Theory
(4)
Natural Language Processing
(2)
Learning Paradigms
(2)
Learning Types
(2)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Robotics
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Capabilities
(1)
Clinical
(1)
Generation
(1)
Keywords
gaussian process
(2)
bayesian optimization
(2)
imitation learning
(1)
black-box optimization
(1)
variational inference
(1)
hierarchical planning
(1)
hyperparameter optimization
(1)
sequential decision making
(1)
model predictive control
(1)
human-robot interaction
(1)
sparse approximation
(1)
constraint satisfaction
(1)
robust estimation
(1)
regret bound
(1)
heavy-tailed distribution
(1)
safety constraint
(1)
motion control
(1)
supervised fine-tuning
(1)
best-of-n sampling
(1)
safe optimization
(1)
Papers
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
ICLR 2025
Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
ICLR 2025
Training Language Models to Self-Correct via Reinforcement Learning
ICLR 2025
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
NeurIPS 2024
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2021
Stagewise Safe Bayesian Optimization with Gaussian Processes
ICML 2018