Shengbo Wang
9 papers · 2023–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (20) π Cross-Pollinator (8)
π
Renaissance Researcher
(5)
β‘
Prolific Year
(5)
Conferences
AAAI (3)
AISTATS (2)
NIPS (2)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
dueling bandit
(2)
bayesian optimization
(2)
sample complexity
(2)
offline reinforcement learning
(1)
preference learning
(1)
partially observable
(1)
hyperparameter optimization
(1)
markov decision process
(1)
gaussian process
(1)
variance reduction
(1)
distributional robustness
(1)
high-dimensional optimization
(1)
multi-objective optimization
(1)
constrained optimization
(1)
gaussian processes
(1)
pairwise comparison
(1)
acquisition function
(1)
surrogate model
(1)
reward model
(1)
prior learning
(1)
Papers
Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
AAAI 2026
LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data
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
NIPS 2024
Optimal Sample Complexity for Average Reward Markov Decision Processes
ICLR 2024
Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning
JMLR 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence
AAAI 2024
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
NIPS 2024
A Finite Sample Complexity Bound for Distributionally Robust Q-learning
AISTATS 2023