Phillips, Jeff

6 publications

ICLR 2023 Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff Phillips

TMLR 2022 Local Kernel Ridge Regression for Scalable, Interpolating, Continuous Regression Mingxuan Han, Chenglong Ye, Jeff Phillips

ICLR 2022 Normalization of Language Embeddings for Cross-Lingual Alignment Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff Phillips

AISTATS 2021 A Deterministic Streaming Sketch for Ridge Regression Benwei Shi, Jeff Phillips

AISTATS 2019 Attenuating Bias in Word Vectors Sunipa Dev, Jeff Phillips

AISTATS 2012 Protocols for Learning Classifiers on Distributed Data Hal Daume Iii, Jeff Phillips, Avishek Saha, Suresh Venkatasubramanian