Krikamol Muandet
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
10
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes. | Majid Mohammadi, Krikamol Muandet, Ilaria Tiddi, Annette ten Teije, Siu Lun Chau |
| 2026 | ACL | Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration. | Chongsheng Zhang, Hao Wang, Zelong Yu, Esteban Garces Arias, Julian Rodemann, Zhanshuo Zhang, Qilong Li, Gaojuan Fan, Krikamol Muandet, Christian Heumann |
| 2025 | AISTATS | Credal Two-Sample Tests of Epistemic Uncertainty. | Siu Lun Chau, Antonin Schrab, Arthur Gretton, Dino Sejdinovic, Krikamol Muandet |
| 2025 | CVPR | Sufficient Invariant Learning for Distribution Shift. | Taero Kim, Subeen Park, Sungjun Lim, Yonghan Jung, Krikamol Muandet, Kyungwoo Song |
| 2025 | ICML | Kernel Quantile Embeddings and Associated Probability Metrics. | Masha Naslidnyk, Siu Lun Chau, Franois-Xavier Briol, Krikamol Muandet |
| 2025 | UAI | Truthful Elicitation of Imprecise Forecasts. | Anurag Singh, Siu Lun Chau, Krikamol Muandet |
| 2024 | AAAI | Causal Strategic Learning with Competitive Selection. | Kiet Q. H. Vo, Muneeb Aadil, Siu Lun Chau, Krikamol Muandet |
| 2024 | AISTATS | Looping in the Human: Collaborative and Explainable Bayesian Optimization. | Masaki Adachi, Brady Planden, David A. Howey, Michael A. Osborne, Sebastian Orbell, Natalia Ares, Krikamol Muandet, Siu Lun Chau |
| 2024 | ICML | Domain Generalisation via Imprecise Learning. | Anurag Singh, Siu Lun Chau, Shahine Bouabid, Krikamol Muandet |
| 2023 | ALT | Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes. | Junhyung Park, Krikamol Muandet |
| 2023 | ICML | On the Relationship Between Explanation and Prediction: A Causal View. | Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schlkopf, Been Kim |
| 2022 | AISTATS | A Witness Two-Sample Test. | Jonas M. Kbler, Wittawat Jitkrittum, Bernhard Schlkopf, Krikamol Muandet |
| 2022 | ICML | Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions. | Heiner Kremer, Jia-Jie Zhu, Krikamol Muandet, Bernhard Schlkopf |
| 2021 | ICML | Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction. | Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt J. Kusner, Arthur Gretton, Krikamol Muandet |
| 2021 | ICML | Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression. | Junhyung Park, Uri Shalit, Bernhard Schlkopf, Krikamol Muandet |
| 2020 | AISTATS | Fair Decisions Despite Imperfect Predictions. | Niki Kilbertus, Manuel Gomez Rodriguez, Bernhard Schlkopf, Krikamol Muandet, Isabel Valera |
| 2020 | AISTATS | Kernel Conditional Density Operators. | Ingmar Schuster, Mattes Mollenhauer, Stefan Klus, Krikamol Muandet |
| 2020 | UAI | Kernel Conditional Moment Test via Maximum Moment Restriction. | Krikamol Muandet, Wittawat Jitkrittum, Jonas M. Kbler |
| 2019 | CVPR | Local Temporal Bilinear Pooling for Fine-Grained Action Parsing. | Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann |
| 2016 | SDM | TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification. | Rohit Babbar, Krikamol Muandet, Bernhard Schlkopf |
| 2015 | ICML | Towards a Learning Theory of Cause-Effect Inference. | David Lopez-Paz, Krikamol Muandet, Bernhard Schlkopf, Ilya O. Tolstikhin |
| 2014 | ICML | Kernel Mean Estimation and Stein Effect. | Krikamol Muandet, Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur Gretton, Bernhard Schlkopf |
| 2014 | UAI | A Permutation-Based Kernel Conditional Independence Test. | Gary Doran, Krikamol Muandet, Kun Zhang, Bernhard Schlkopf |
| 2013 | ICML | Domain Generalization via Invariant Feature Representation. | Krikamol Muandet, David Balduzzi, Bernhard Schlkopf |
| 2013 | ICML | Domain Adaptation under Target and Conditional Shift. | Kun Zhang, Bernhard Schlkopf, Krikamol Muandet, Zhikun Wang |
| 2013 | UAI | One-Class Support Measure Machines for Group Anomaly Detection. | Krikamol Muandet, Bernhard Schlkopf |
| 2009 | ACML | Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification. | Krikamol Muandet, Sanparith Marukatat, Cholwich Nattee |
| 2009 | PAKDD | Robust Graph Hyperparameter Learning for Graph Based Semi-supervised Classification. | Krikamol Muandet, Sanparith Marukatat, Cholwich Nattee |