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yaodong yu yaodong yu graduate student eecs department university of california berkeley 7th floor sutardja dai hall berkeley ca 94720 email yyu at eecs dot berkeley dot edu about me i am a final year phd student in the eecs department at uc berkeley advised by michael i jordan and yi ma i obtained my b s from the department of mathematics at nanjing university and my m s from the department of computer science university of virginia my research interests are broadly in theoretical foundations and applications of trustworthy machine learning my current focus is on interpretable white box deep neural networks e g crate white box transformer differentially private foundation models e g vip a differentially private vision foundation model optimization and uncertainty quantification for collaborative federated learning e g fcp federated conformal predictors robustness under distribution shifts e g projnorm predicting out of distribution error recent publications google scholar equal contribution white box transformers via sparse rate reduction yaodong yu sam buchanan druv pai tianzhe chu ziyang wu shengbang tong benjamin d haeffele yi ma in proceedings of the 37th conference on advances in neural information processing systems neurips 2023 2023 arxiv code vip a differentially private foundation model for computer vision yaodong yu maziar sanjabi yi ma kamalika chaudhuri chuan guo preliminary version presented at theory and practice of differential privacy workshop tpdp 2023 2023 arxiv code federated conformal predictors for distributed uncertainty quantification charles lu yaodong yu sai praneeth karimireddy michael jordan ramesh raskar in proceedings of the 40th international conference on machine learning icml 2023 2023 link code robust calibration with multi domain temperature scaling yaodong yu stephen bates yi ma michael i jordan in proceedings of the 36th conference on advances in neural information processing systems neurips 2022 2022 link tct convexifying federated learning using bootstrapped neural tangent kernels yaodong yu alexander wei sai praneeth karimireddy yi ma michael i jordan in proceedings of the 36th conference on advances in neural information processing systems neurips 2022 2022 link code predicting out of distribution error with the projection norm yaodong yu zitong yang alexander wei yi ma jacob steinhardt in proc of the 39th international conference on machine learning icml 2022 2022 link code professional experiences visiting researcher fair at meta san francisco oct 2022 sep 2024 research intern meta ai san francisco may 2022 oct 2022 research intern google research remote may 2021 aug 2021 research intern petuum pittsburgh pa may 2018 dec 2018 research assistant school of computer science and engineering nanyang technological university ntu singapore sep 2016 aug 2017