Wu, Yinjun

8 publications

ICML 2025 POQD: Performance-Oriented Query Decomposer for Multi-Vector Retrieval Yaoyang Liu, Junlin Li, Yinjun Wu, Zhen Chen

ICML 2024 DISCRET: Synthesizing Faithful Explanations for Treatment Effect Estimation Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J Getzen, Qi Long, Mayur Naik, Ravi B Parikh, Eric Wong

ICML 2024 Towards Compositionality in Concept Learning Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong

ICML 2023 Do Machine Learning Models Learn Statistical Rules Inferred from Data? Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong

AAAI 2023 Learning to Select Pivotal Samples for Meta Re-Weighting Yinjun Wu, Adam Stein, Jacob R. Gardner, Mayur Naik

NeurIPSW 2023 Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik

AAAI 2021 Dynamic Gaussian Mixture Based Deep Generative Model for Robust Forecasting on Sparse Multivariate Time Series Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson

ICML 2020 DeltaGrad: Rapid Retraining of Machine Learning Models Yinjun Wu, Edgar Dobriban, Susan Davidson