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Shengbo Wang

8 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

AAAI ×3NeurIPS ×3AISTATS ×1ICLR ×1

Frequent coauthors

Ke Li
×4
José H. Blanchet
×3
Nian Si
×2
Peter W. Glynn
×2
Fan Li
×1
Hong Sun
×1
Zijun Chen
×1
Zhengyuan Zhou
×1
Tian Huang
×1

Papers

  1. LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data
    AAAI 2026 ·
    Fan Li
    , Shengbo Wang,
    Ke Li
  2. Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
    AAAI 2026 · Shengbo Wang,
    Hong Sun
    ,
    Ke Li
  3. Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning
    NeurIPS 2025 ·
    Zijun Chen
    , Shengbo Wang,
    Nian Si
  4. Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
    AISTATS 2025 · Shengbo Wang,
    Nian Si
    ,
    Jose H. Blanchet
    ,
    Zhengyuan Zhou
  5. An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations
    NeurIPS 2024 · Shengbo Wang,
    Jose H. Blanchet
    ,
    Peter W. Glynn
  6. Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence
    AAAI 2024 · Shengbo Wang,
    Ke Li
  7. Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
    NeurIPS 2024 ·
    Tian Huang
    , Shengbo Wang,
    Ke Li
  8. Optimal Sample Complexity for Average Reward Markov Decision Processes
    ICLR 2024 · Shengbo Wang,
    José H. Blanchet
    ,
    Peter W. Glynn