PPaperPicks

Krikamol Muandet

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

Venues

Frequent coauthors

Siu Lun Chau
×8
Anurag Singh
×2
Majid Mohammadi
×1
Ilaria Tiddi
×1
Annette ten Teije
×1
Chongsheng Zhang
×1
Hao Wang
×1
Zelong Yu
×1
Esteban Garces Arias
×1
Julian Rodemann
×1
Zhanshuo Zhang
×1
Qilong Li
×1

Papers

  1. Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes
    AAAI 2026 ·
    Majid Mohammadi
    , Krikamol Muandet,
    Ilaria Tiddi
    ,
    Annette ten Teije
    ,
    Siu Lun Chau
  2. Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration
    ACL 2026 ·
    Chongsheng Zhang
    ,
    Hao Wang
    ,
    Zelong Yu
    ,
    Esteban Garces Arias
    ,
    Julian Rodemann
    ,
    Zhanshuo Zhang
    ,
    Qilong Li
    ,
    Gaojuan Fan
    , Krikamol Muandet,
    Christian Heumann
  3. An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
    NeurIPS 2025 ·
    Uzair Akbar
    ,
    Niki Kilbertus
    ,
    Hao Shen
    , Krikamol Muandet,
    Bo Dai
  4. Credal Two-Sample Tests of Epistemic Uncertainty
    AISTATS 2025 ·
    Siu Lun Chau
    ,
    Antonin Schrab
    ,
    Arthur Gretton
    ,
    Dino Sejdinovic
    , Krikamol Muandet
  5. Integral Imprecise Probability Metrics
    NeurIPS 2025 ·
    Siu Lun Chau
    ,
    Michele Caprio
    , Krikamol Muandet
  6. Kernel Quantile Embeddings and Associated Probability Metrics
    ICML 2025 ·
    Masha Naslidnyk
    ,
    Siu Lun Chau
    ,
    François-Xavier Briol
    , Krikamol Muandet
  7. Sufficient Invariant Learning for Distribution Shift
    CVPR 2025 ·
    Taero Kim
    ,
    Subeen Park
    ,
    Sungjun Lim
    ,
    Yonghan Jung
    , Krikamol Muandet,
    Kyungwoo Song
  8. Truthful Elicitation of Imprecise Forecasts
    UAI 2025 ·
    Anurag Singh
    ,
    Siu Lun Chau
    , Krikamol Muandet
  9. Causal Strategic Learning with Competitive Selection
    AAAI 2024 ·
    Kiet Q. H. Vo
    ,
    Muneeb Aadil
    ,
    Siu Lun Chau
    , Krikamol Muandet
  10. Domain Generalisation via Imprecise Learning
    ICML 2024 ·
    Anurag Singh
    ,
    Siu Lun Chau
    ,
    Shahine Bouabid
    , Krikamol Muandet
  11. Looping in the Human: Collaborative and Explainable Bayesian Optimization
    AISTATS 2024 ·
    Masaki Adachi
    ,
    Brady Planden
    ,
    David A. Howey
    ,
    Michael A. Osborne
    ,
    Sebastian Orbell
    ,
    Natalia Ares
    , Krikamol Muandet,
    Siu Lun Chau