Phillips, Jeff M.

12 publications

AISTATS 2025 Estimation of Large Zipfian Distributions with Sort and Snap Peter Matthew Jacobs, Anirban Bhattacharya, Debdeep Pati, Lekha Patel, Jeff M. Phillips

TMLR 2025 Robust High-Dimensional Mean Estimation with Low Data Size, an Empirical Study Cullen Anderson, Jeff M. Phillips

ICLR 2025 Standard Gaussian Process Is All You Need for High-Dimensional Bayesian Optimization Zhitong Xu, Haitao Wang, Jeff M. Phillips, Shandian Zhe

JMLR 2024 Linear Distance Metric Learning with Noisy Labels Meysam Alishahi, Anna Little, Jeff M. Phillips

ICML 2024 No Dimensional Sampling Coresets for Classification Meysam Alishahi, Jeff M. Phillips

NeurIPS 2022 Batch Multi-Fidelity Active Learning with Budget Constraints Shibo Li, Jeff M Phillips, Xin Yu, Robert Kirby, Shandian Zhe

NeurIPS 2021 Self-Adaptable Point Processes with Nonparametric Time Decays Zhimeng Pan, Zheng Wang, Jeff M Phillips, Shandian Zhe

AAAI 2020 On Measuring and Mitigating Biased Inferences of Word Embeddings Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar

AISTATS 2016 Streaming Kernel Principal Component Analysis Mina Ghashami, Daniel J. Perry, Jeff M. Phillips

NeurIPS 2016 The Robustness of Estimator Composition Pingfan Tang, Jeff M Phillips

ALT 2015 Subsampling in Smoothed Range Spaces Jeff M. Phillips, Yan Zheng

ALT 2012 Efficient Protocols for Distributed Classification and Optimization Hal Daumé Iii, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian