Shengbo Wang
9 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(21)
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Prolific Year · Productive
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Keyword Collector
(51)
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Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(9)
Artificial Intelligence
(5)
Mathematics & Optimization
(3)
Core AI
(3)
Optimization
(3)
Reinforcement Learning
(2)
Learning Types
(2)
Methods
(2)
Probability
(2)
Deep Learning
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Paradigms
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
sample complexity
(3)
dueling bandit
(2)
bayesian optimization
(2)
markov decision process
(2)
gaussian processes
(1)
hyperparameter optimization
(1)
prior learning
(1)
constrained optimization
(1)
offline reinforcement learning
(1)
distributionally robust
(1)
gaussian process
(1)
value function
(1)
dynamic programming
(1)
stochastic control
(1)
optimal policy
(1)
variance reduction
(1)
preference learning
(1)
distributional robustness
(1)
high-dimensional optimization
(1)
reinforcement learning
(1)
Papers
LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data
AAAI 2026
Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
AAAI 2026
Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
AISTATS 2025
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations
NeurIPS 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence
AAAI 2024
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
NeurIPS 2024
Optimal Sample Complexity for Average Reward Markov Decision Processes
ICLR 2024
Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning
JMLR 2024
A Finite Sample Complexity Bound for Distributionally Robust Q-learning
AISTATS 2023