Jeff M. Phillips

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 116

Top Venues

Publications

Meysam Alishahi, Jeff M. Phillips
No Dimensional Sampling Coresets for Classification. CoRR (2024)
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
Sketching Multidimensional Time Series for Fast Discord Mining. CoRR (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips
An Efficient Content-based Time Series Retrieval System. CoRR (2023)
Benwei Shi, Aditya Bhaskara, Wai Ming Tai, Jeff M. Phillips
On Mergable Coresets for Polytope Distance. CoRR (2023)
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
Sketching Multidimensional Time Series for Fast Discord Mining. BigData (2023)
Hasan Pourmahmood Aghababa, Jeff M. Phillips
An experimental study on classifying spatial trajectories. Knowl. Inf. Syst. 65 (4) (2023)
Meysam Alishahi, Anna Little, Jeff M. Phillips
Linear Distance Metric Learning. CoRR (2023)
Jeff M. Phillips, Hasan Pourmahmood Aghababa
For Kernel Range Spaces a Constant Number of Queries Are Sufficient. CoRR (2023)
Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. CoRR (2023)
Mingxuan Han, Varun Shankar, Jeff M. Phillips, Chenglong Ye
Locally Adaptive and Differentiable Regression. CoRR (2023)
Mary W. Hall, Ganesh Gopalakrishnan, Eric Eide, Johanna Cohoon, Jeff M. Phillips, Mu Zhang, Shireen Y. Elhabian, Aditya Bhaskara, Harvey Dam, Artem Yadrov, Tushar Kataria, Amir Mohammad Tavakkoli, Sameeran Joshi, Mokshagna Sai Teja Karanam
An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report. SC Workshops (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips
An Efficient Content-based Time Series Retrieval System. CIKM (2023)
Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. ICLR (2023)
Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian
Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract). ICDE (2022)
Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian
Efficient Oblivious Query Processing for Range and kNN Queries. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. CoRR (2022)
Jiahui Chen, Joe Breen, Jeff M. Phillips, Jacobus E. van der Merwe
Practical and configurable network traffic classification using probabilistic machine learning. Clust. Comput. 25 (4) (2022)
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips
Normalization of Language Embeddings for Cross-Lingual Alignment. ICLR (2022)
Hasan Pourmahmood Aghababa, Jeff M. Phillips
Classifying Spatial Trajectories. CoRR (2022)
Shibo Li, Jeff M. Phillips, Xin Yu, Robert M. Kirby, Shandian Zhe
Batch Multi-Fidelity Active Learning with Budget Constraints. CoRR (2022)
Shibo Li, Jeff M. Phillips, Xin Yu, Robert M. Kirby, Shandian Zhe
Batch Multi-Fidelity Active Learning with Budget Constraints. NeurIPS (2022)
Austin Watkins, Jeff M. Phillips
Using Existential Theory of the Reals to Bound VC Dimension. CCCG (2022)
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. AMTA (2022)
Mingxuan Han, Chenglong Ye, Jeff M. Phillips
Local Kernel Ridge Regression for Scalable, Interpolating, Continuous Regression. Trans. Mach. Learn. Res. 2022 (2022)
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. CoRR (2021)
Michael Matheny, Jeff M. Phillips
Approximate Maximum Halfspace Discrepancy. ISAAC (2021)
Benwei Shi, Zhuoyue Zhao, Yanqing Peng, Feifei Li, Jeff M. Phillips
At-the-time and Back-in-time Persistent Sketches. SIGMOD Conference (2021)
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. CoRR (2021)
Benwei Shi, Jeff M. Phillips
A Deterministic Streaming Sketch for Ridge Regression. AISTATS (2021)
Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips
Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates. IEEE Trans. Big Data 7 (3) (2021)
Michael Matheny, Jeff M. Phillips
Approximate Maximum Halfspace Discrepancy. CoRR (2021)
Dong Xie, Jeff M. Phillips, Michael Matheny, Feifei Li
Spatial Independent Range Sampling. SIGMOD Conference (2021)
Jiahui Chen, Joe Breen, Jeff M. Phillips, Jacobus E. van der Merwe
Practical and Configurable Network Traffic Classification Using Probabilistic Machine Learning. CoRR (2021)
Sunipa Dev, Safia Hassan, Jeff M. Phillips
Closed form word embedding alignment. Knowl. Inf. Syst. 63 (3) (2021)
Jeff M. Phillips, Hasan Pourmahmood Aghababa
Orientation-Preserving Vectorized Distance Between Curves. MSML (2021)
Debjyoti Paul, Feifei Li, Jeff M. Phillips
Semantic embedding for regions of interest. VLDB J. 30 (3) (2021)
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. EMNLP (1) (2021)
Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective. NeurIPS (Competition and Demos) (2021)
Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai
Finding an Approximate Mode of a Kernel Density Estimate. ESA (2021)
Anne Driemel, André Nusser, Jeff M. Phillips, Ioannis Psarros
The VC Dimension of Metric Balls under Fréchet and Hausdorff Distances. Discret. Comput. Geom. 66 (4) (2021)
Zhiyan Yi, Xiaoyue Cathy Liu, Nikola Markovic, Jeff M. Phillips
Inferencing hourly traffic volume using data-driven machine learning and graph theory. Comput. Environ. Urban Syst. 85 (2021)
Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips
Constrained Non-Affine Alignment of Embeddings. ICDM (2021)
Zhimeng Pan, Zheng Wang, Jeff M. Phillips, Shandian Zhe
Self-Adaptable Point Processes with Nonparametric Time Decays. NeurIPS (2021)
Mingxuan Han, Jeff M. Phillips, Sneha Kumar Kasera
Hiding Signal Strength Interference from Outside Adversaries. CoRR (2021)
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. EMNLP (1) (2021)
Kiran Gadhave, Jochen Görtler, Zach Cutler, Carolina Nobre, Oliver Deussen, Miriah Meyer, Jeff M. Phillips, Alexander Lex
Predicting intent behind selections in scatterplot visualizations. Inf. Vis. 20 (4) (2021)
Siu-Wing Cheng, Anne Driemel, Jeff M. Phillips
Computational Geometry (Dagstuhl Seminar 21181). Dagstuhl Reports 11 (4) (2021)
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang
A Visual Tour of Bias Mitigation Techniques for Word Representations. KDD (2021)
Jeff M. Phillips, Wai Ming Tai
Near-Optimal Coresets of Kernel Density Estimates. Discret. Comput. Geom. 63 (4) (2020)
Jeff M. Phillips, Pingfan Tang
Sketched MinDist. SoCG (2020)
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. CoRR (2020)
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
On Measuring and Mitigating Biased Inferences of Word Embeddings. AAAI (2020)
Benwei Shi, Jeff M. Phillips
A Deterministic Streaming Sketch for Ridge Regression. CoRR (2020)
Jeff M. Phillips, Wai Ming Tai
The GaussianSketch for Almost Relative Error Kernel Distance. APPROX-RANDOM (2020)
Jeff M. Phillips, Hasan Pourmahmood Aghababa
Orientation-Preserving Vectorized Distance Between Curves. CoRR (2020)
Michael Matheny, Dong Xie, Jeff M. Phillips
Scalable Spatial Scan Statistics for Trajectories. ACM Trans. Knowl. Discov. Data 14 (6) (2020)
Peyman Afshani, Jeff M. Phillips
Independent Range Sampling, Revisited Again. SoCG (2019)
Sunipa Dev, Safia Hassan, Jeff M. Phillips
Closed Form Word Embedding Alignment. ICDM (2019)
Jeff M. Phillips, Pingfan Tang
Sketched MinDist. CoRR (2019)
Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai
Finding the Mode of a Kernel Density Estimate. CoRR (2019)
Mingxuan Han, Michael Matheny, Jeff M. Phillips
The Kernel Spatial Scan Statistic. SIGSPATIAL/GIS (2019)
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
On Measuring and Mitigating Biased Inferences of Word Embeddings. CoRR (2019)
Jeff M. Phillips, Pingfan Tang
Simple Distances for Trajectories via Landmarks. SIGSPATIAL/GIS (2019)
Annie Cherkaev, Waiming Tai, Jeff M. Phillips, Vivek Srikumar
Learning In Practice: Reasoning About Quantization. CoRR (2019)
Sunipa Dev, Jeff M. Phillips
Attenuating Bias in Word Vectors. CoRR (2019)
Sunipa Dev, Jeff M. Phillips
Attenuating Bias in Word vectors. AISTATS (2019)
Anne Driemel, Jeff M. Phillips, Ioannis Psarros
The VC Dimension of Metric Balls under Fréchet and Hausdorff Distances. CoRR (2019)
Peyman Afshani, Jeff M. Phillips
Independent Range Sampling, Revisited Again. CoRR (2019)
Michael Matheny, Dong Xie, Jeff M. Phillips
Scalable Spatial Scan Statistics for Trajectories. CoRR (2019)
Mingxuan Han, Michael Matheny, Jeff M. Phillips
The Kernel Spatial Scan Statistic. CoRR (2019)
Anne Driemel, Jeff M. Phillips, Ioannis Psarros
The VC Dimension of Metric Balls Under Fréchet and Hausdorff Distances. SoCG (2019)
Kevin Buchin, Jeff M. Phillips, Pingfan Tang
Approximating the Distribution of the Median and other Robust Estimators on Uncertain Data. SoCG (2018)
Jeff M. Phillips, Wai Ming Tai
Relative Error RKHS Embeddings for Gaussian Kernels. CoRR (2018)
Jeff M. Phillips, Wai Ming Tai
Improved Coresets for Kernel Density Estimates. SODA (2018)
Michael Matheny, Jeff M. Phillips
Computing Approximate Statistical Discrepancy. ISAAC (2018)
Jeff M. Phillips, Wai Ming Tai
Near-Optimal Coresets of Kernel Density Estimates. SoCG (2018)
Yang Gao, Jeff M. Phillips, Yan Zheng, Renqiang Min, P. Thomas Fletcher, Guido Gerig
Fully convolutional structured LSTM networks for joint 4D medical image segmentation. ISBI (2018)
Michael Matheny, Jeff M. Phillips
Computing Approximate Statistical Discrepancy. CoRR (2018)
Jeff M. Phillips, Wai Ming Tai
Near-Optimal Coresets of Kernel Density Estimates. CoRR (2018)
Aria Rezaei, Jie Gao, Jeff M. Phillips, Csaba D. Tóth
Improved Bounds on Information Dissemination by Manhattan Random Waypoint Model. CoRR (2018)
Michael Matheny, Jeff M. Phillips
Practical Low-Dimensional Halfspace Range Space Sampling. ESA (2018)
Sunipa Dev, Safia Hassan, Jeff M. Phillips
Absolute Orientation for Word Embedding Alignment. CoRR (2018)
Jeff M. Phillips, Pingfan Tang
A Data-Dependent Distance for Regression. CoRR (2018)
Michael Matheny, Jeff M. Phillips
Practical Low-Dimensional Halfspace Range Space Sampling. CoRR (2018)
Aria Rezaei, Jie Gao, Jeff M. Phillips, Csaba D. Tóth
Improved bounds on information dissemination by Manhattan Random Waypoint model. SIGSPATIAL/GIS (2018)
Dong Xie, Feifei Li, Jeff M. Phillips
Distributed Trajectory Similarity Search. Proc. VLDB Endow. 10 (11) (2017)
Yan Zheng, Jeff M. Phillips
Coresets for Kernel Regression. CoRR (2017)
Di Chen, Jeff M. Phillips
Relative Error Embeddings of the Gaussian Kernel Distance. ALT (2017)
Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips
Visualization of Big Spatial Data using Coresets for Kernel Density Estimates. CoRR (2017)
Jeff M. Phillips, Wai Ming Tai
Improved Coresets for Kernel Density Estimates. CoRR (2017)
Ran Wei, Daoqin Tong, Jeff M. Phillips
An integrated classification scheme for mapping estimates and errors of estimation from the American Community Survey. Comput. Environ. Urban Syst. 63 (2017)
Yan Zheng, Jeff M. Phillips
Coresets for Kernel Regression. KDD (2017)
Tim Sodergren, Jessica Hair, Jeff M. Phillips, Bei Wang
Visualizing Sensor Network Coverage with Location Uncertainty. CoRR (2017)
Mina Ghashami, Edo Liberty, Jeff M. Phillips
Efficient Frequent Directions Algorithm for Sparse Matrices. KDD (2016)
Lingxiao Huang, Jian Li, Jeff M. Phillips, Haitao Wang
epsilon-Kernel Coresets for Stochastic Points. ESA (2016)
Pankaj K. Agarwal, Boris Aronov, Sariel Har-Peled, Jeff M. Phillips, Ke Yi, Wuzhou Zhang
Nearest-Neighbor Searching Under Uncertainty II. CoRR (2016)
Jian Pei, Leman Akoglu, Hongrae Lee, Justin J. Levandoski, Xuelong Li, Rosa Meo, Carlos Ordonez, Jeff M. Phillips, Barbara Poblete, K. Selçuk Candan, Meng Wang, Ji-Rong Wen, Li Xiong, Wenjie Zhang
EIC Editorial. IEEE Trans. Knowl. Data Eng. 28 (10) (2016)
Pingfan Tang, Jeff M. Phillips
The Robustness of Estimator Composition. NIPS (2016)
Jeff M. Phillips, Elad Verbin, Qin Zhang
Lower Bounds for Number-in-Hand Multiparty Communication Complexity, Made Easy. SIAM J. Comput. 45 (1) (2016)
Pankaj K. Agarwal, Boris Aronov, Sariel Har-Peled, Jeff M. Phillips, Ke Yi, Wuzhou Zhang
Nearest-Neighbor Searching Under Uncertainty II. ACM Trans. Algorithms 13 (1) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jeff M. Phillips