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Trustworthy Machine Learning: Robustness, Generalization, and Interpretability.

, , , , and . KDD, page 5827-5828. ACM, (2023)

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Deep Learning for Genomics: A Concise Overview, and . CoRR, (2018)Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data., , , and . Bioinform., 35 (7): 1181-1187 (2019)What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks., , and . CoRR, (2018)Learning Robust Representations by Projecting Superficial Statistics Out., , , and . ICLR, OpenReview.net, (2019)Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets., , , , , and . BMC Bioinform., 22 (1): 50 (2021)Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies., , , , and . BMC Bioinform., 20-S (23): 656 (2019)Measure and Improve Robustness in NLP Models: A Survey., , and . NAACL-HLT, page 4569-4586. Association for Computational Linguistics, (2022)Trustworthy Machine Learning: Robustness, Generalization, and Interpretability., , , , and . KDD, page 5827-5828. ACM, (2023)Tradeoffs of Linear Mixed Models in Genome-wide Association Studies., , and . CoRR, (2021)Toward learning human-aligned cross-domain robust models by countering misaligned features., , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 2075-2084. PMLR, (2022)