Publications

Yijun Dong*, Yuege Xie*, Rachel Ward (2022). Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift. ICML 2023.

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Yuege Xie*, Bobby Shi*, Hayden Schaeffer, Rachel Ward (2022). SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning. MSML 2022.

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Xiaoxia Wu, Yuege Xie, Simon Du, Rachel Ward (2022). AdaLoss: A computationally-efficient and provably convergent adaptive gradient method. AAAI 2022.

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Yuege Xie, Hung-Hsu Chou, Holger Rauhut, Rachel Ward (2022). Overparameterization and generalization error: weighted trigonometric interpolation. SIAM Journal on Mathematics of Data Science.

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Yuege Xie, Xiaoxia Wu, Rachel Ward (2020). Linear Convergence of Adaptive Stochastic Gradient Descent. AISTATS 2020.

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