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Discovering Significant Patterns under Sequential False Discovery Control.

, and . KDD, page 263-272. ACM, (2022)

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Summarizing Data Succinctly with the Most Informative Itemsets., , and . CoRR, (2019)Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition., and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1016-1026. PMLR, (2023)SUSAN: The Structural Similarity Random Walk Kernel., , and . SDM, page 298-306. SIAM, (2021)Explainable Data Decompositions., and . AAAI, page 3709-3716. AAAI Press, (2020)Label-Descriptive Patterns and Their Application to Characterizing Classification Errors., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 8691-8707. PMLR, (2022)Inferring Cause and Effect in the Presence of Heteroscedastic Noise., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 24615-24630. PMLR, (2022)FACETS: Adaptive Local Exploration of Large Graphs., , , , , , , and . SDM, page 597-605. SIAM, (2017)Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity., and . KDD, page 813-823. ACM, (2020)Learning Causal Networks from Episodic Data., , and . KDD, page 2224-2235. ACM, (2024)Federated Learning from Small Datasets., , and . ICLR, OpenReview.net, (2023)