Jeff M. Phillips

210 papers A* 36A 15B 10C 1Misc 1Journal 122Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
Curveball Steering: The Right Direction To Steer Isn't Always Linear.
CoRR
Shivam Raval, Hae Jin Song, Linlin Wu, Abir Harrasse, Jeff M. Phillips, Fazl Barez, Amirali Abdullah
2026 J jnl
Guest Editors' Foreword.
Discret. Comput. Geom.
Wolfgang Mulzer, Jeff M. Phillips
2026 J jnl
Hardness of High-Dimensional Linear Classification.
CoRR
Alexander Munteanu, Simon Omlor, Jeff M. Phillips
2026 J jnl
Understanding and Mitigating Dataset Corruption in LLM Steering.
CoRR
Cullen Anderson, Narmeen Oozeer, Foad Namjoo, Remy Ogasawara, Amirali Abdullah, Jeff M. Phillips
2025 J jnl
Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Large Language Models.
CoRR
Philip Quirke, Narmeen Oozeer, Chaithanya Bandi, Amir Abdullah, Jason Hoelscher-Obermaier, Jeff M. Phillips, Joshua Greaves, Clement Neo, Fazl Barez, Shriyash Upadhyay
2025 J jnl
Computational Geometry (Dagstuhl Seminar 25201).
Dagstuhl Reports
Maarten Löffler, Eunjin Oh, Jeff M. Phillips, Alexandra Weinberger
2025 J jnl
Designing a Secure and Resilient Distributed Smartphone Participant Data Collection System.
CoRR
Foad Namjoo, Neng Wan, Devan Mallory, Yuyi Chang, Nithin Sugavanam, Long Yin Lee, Ning Xiong, Emre Ertin, Jeff M. Phillips
2025 J jnl
Dimension-Independent Kernel eps-Covers.
Comput. Geom. Topol.
Jeff M. Phillips, Hasan Pourmahmood Aghababa
2025 J jnl
Efficient and Stable Multi-Dimensional Kolmogorov-Smirnov Distance.
CoRR
Peter Matthew Jacobs, Foad Namjoo, Jeff M. Phillips
2025 A conf
Estimation of Large Zipfian Distributions with Sort and Snap.
AISTATS
Peter Matthew Jacobs, Anirban Bhattacharya, Debdeep Pati, Lekha Patel, Jeff M. Phillips
2025 J jnl
Fast Comparative Analysis of Merge Trees Using Locality Sensitive Hashing.
IEEE Trans. Vis. Comput. Graph.
Weiran Lyu, Raghavendra Sridharamurthy, Jeff M. Phillips, Bei Wang
2025 J jnl
Guest Editors' Foreword.
Comput. Geom. Topol.
Denis Pankratov, Jeff M. Phillips
2025 J jnl
Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study.
CoRR
Cullen Anderson, Jeff M. Phillips
2025 J jnl
Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study.
Trans. Mach. Learn. Res.
Cullen Anderson, Jeff M. Phillips
2025 A* conf
Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization.
ICLR
Zhitong Xu, Haitao Wang, Jeff M. Phillips, Shandian Zhe
2025 J jnl
Strategic bi-objective optimization for electric vehicle fleet replacement leveraging shared charging facilities.
Comput. Environ. Urban Syst.
Shouzheng Pan, Ran Wei, Xiaoyue Cathy Liu, Jeff M. Phillips, Bei Wang
2025 J jnl
The General Expiration Streaming Model: Diameter,
CoRR
Lotte Blank, Sergio Cabello, MohammadTaghi Hajiaghayi, Robert Krauthgamer, Sepideh Mahabadi, André Nusser, Jeff M. Phillips, Jonas Sauer
2025 J jnl
Trajectory Minimum Touching Ball.
CoRR
Jeff M. Phillips, Jens Kristian Refsgaard Schou
2025 J jnl
Zombie Hashing: Reanimating Tombstones in Graveyard.
Proc. ACM Manag. Data
Yuvaraj Chesetti, Benwei Shi, Jeff M. Phillips, Prashant Pandey
2024 A* ed.
40th International Symposium on Computational Geometry, SoCG 2024, Athens, Greece, June 11-14, 2024
SoCG
Wolfgang Mulzer, Jeff M. Phillips
2024 J jnl
Fast Comparative Analysis of Merge Trees Using Locality Sensitive Hashing.
CoRR
Weiran Lyu, Raghavendra Sridharamurthy, Jeff M. Phillips, Bei Wang
2024 J jnl
Linear Distance Metric Learning with Noisy Labels.
J. Mach. Learn. Res.
Meysam Alishahi, Anna Little, Jeff M. Phillips
2024 A* conf
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach.
WWW
Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai
2024 A* conf
No Dimensional Sampling Coresets for Classification.
ICML
Meysam Alishahi, Jeff M. Phillips
2024 J jnl
No Dimensional Sampling Coresets for Classification.
CoRR
Meysam Alishahi, Jeff M. Phillips
2024 J jnl
VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations.
ACM Trans. Interact. Intell. Syst.
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
2023 A conf
An Efficient Content-based Time Series Retrieval System.
CIKM
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
2023 J jnl
An Efficient Content-based Time Series Retrieval System.
CoRR
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
2023 — conf
An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report.
SC Workshops
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
2023 J jnl
An experimental study on classifying spatial trajectories.
Knowl. Inf. Syst.
Hasan Pourmahmood Aghababa, Jeff M. Phillips
2023 J jnl
Computational Geometry (Dagstuhl Seminar 23221).
Dagstuhl Reports
Siu-Wing Cheng, Maarten Löffler, Jeff M. Phillips, Aleksandr Popov
2023 J jnl
Computational Geometry of Earth System Analysis (Dagstuhl Seminar 23342).
Dagstuhl Reports
Susanne Crewell, Anne Driemel, Jeff M. Phillips, Dwaipayan Chatterjee
2023 J jnl
Ferret: Reviewing Tabular Datasets for Manipulation.
Comput. Graph. Forum
Devin Lange, Shaurya Sahai, Jeff M. Phillips, Alexander Lex
2023 J jnl
For Kernel Range Spaces a Constant Number of Queries Are Sufficient.
CoRR
Jeff M. Phillips, Hasan Pourmahmood Aghababa
2023 A* conf
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization.
ICLR
Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
2023 J jnl
Linear Distance Metric Learning with Noisy Labels.
CoRR
Meysam Alishahi, Anna Little, Jeff M. Phillips
2023 J jnl
Locally Adaptive and Differentiable Regression.
CoRR
Mingxuan Han, Varun Shankar, Jeff M. Phillips, Chenglong Ye
2023 J jnl
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach.
CoRR
Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai
2023 J jnl
On Mergable Coresets for Polytope Distance.
CoRR
Benwei Shi, Aditya Bhaskara, Wai Ming Tai, Jeff M. Phillips
2023 B conf
Sketching Multidimensional Time Series for Fast Discord Mining.
IEEE Big Data
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
2023 J jnl
Sketching Multidimensional Time Series for Fast Discord Mining.
CoRR
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
2022 A* conf
Batch Multi-Fidelity Active Learning with Budget Constraints.
NeurIPS
Shibo Li, Jeff M. Phillips, Xin Yu, Robert M. Kirby, Shandian Zhe
2022 J jnl
Batch Multi-Fidelity Active Learning with Budget Constraints.
CoRR
Shibo Li, Jeff M. Phillips, Xin Yu, Robert M. Kirby, Shandian Zhe
2022 J jnl
Classifying Spatial Trajectories.
CoRR
Hasan Pourmahmood Aghababa, Jeff M. Phillips
2022 J jnl
Efficient Oblivious Query Processing for Range and kNN Queries.
IEEE Trans. Knowl. Data Eng.
Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian
2022 A* conf
Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract).
ICDE
Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian
2022 J jnl
Local Kernel Ridge Regression for Scalable, Interpolating, Continuous Regression.
Trans. Mach. Learn. Res.
Mingxuan Han, Chenglong Ye, Jeff M. Phillips
2022 A* conf
Normalization of Language Embeddings for Cross-Lingual Alignment.
ICLR
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips
2022 J jnl
Practical and configurable network traffic classification using probabilistic machine learning.
Clust. Comput.
Jiahui Chen, Joe Breen, Jeff M. Phillips, Jacobus E. van der Merwe
2022 Misc conf
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces.
AMTA
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
2022 J jnl
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces.
CoRR
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
2022 — conf
Using Existential Theory of the Reals to Bound VC Dimension.
CCCG
Austin Watkins, Jeff M. Phillips
2021 A conf
A Deterministic Streaming Sketch for Ridge Regression.
AISTATS
Benwei Shi, Jeff M. Phillips
2021 A* conf
A Visual Tour of Bias Mitigation Techniques for Word Representations.
KDD
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang
2021 — conf
An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective.
NeurIPS (Competition and Demos)
Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
2021 B conf
Approximate Maximum Halfspace Discrepancy.
ISAAC
Michael Matheny, Jeff M. Phillips
2021 J jnl
Approximate Maximum Halfspace Discrepancy.
CoRR
Michael Matheny, Jeff M. Phillips
2021 — conf
At-the-time and Back-in-time Persistent Sketches.
SIGMOD Conference
Benwei Shi, Zhuoyue Zhao, Yanqing Peng, Feifei Li, Jeff M. Phillips
2021 J jnl
Closed form word embedding alignment.
Knowl. Inf. Syst.
Sunipa Dev, Safia Hassan, Jeff M. Phillips
2021 J jnl
Computational Geometry (Dagstuhl Seminar 21181).
Dagstuhl Reports
Siu-Wing Cheng, Anne Driemel, Jeff M. Phillips
2021 A* conf
Constrained Non-Affine Alignment of Embeddings.
ICDM
Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips
2021 A conf
Finding an Approximate Mode of a Kernel Density Estimate.
ESA
Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai
2021 — conf
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies.
EMNLP (1)
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
2021 J jnl
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies.
CoRR
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
2021 J jnl
Hiding Signal Strength Interference from Outside Adversaries.
CoRR
Mingxuan Han, Jeff M. Phillips, Sneha Kumar Kasera
2021 J jnl
Inferencing hourly traffic volume using data-driven machine learning and graph theory.
Comput. Environ. Urban Syst.
Zhiyan Yi, Xiaoyue Cathy Liu, Nikola Markovic, Jeff M. Phillips
2021 — conf
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings.
EMNLP (1)
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
2021 — conf
Orientation-Preserving Vectorized Distance Between Curves.
MSML
Jeff M. Phillips, Hasan Pourmahmood Aghababa
2021 J jnl
Practical and Configurable Network Traffic Classification Using Probabilistic Machine Learning.
CoRR
Jiahui Chen, Joe Breen, Jeff M. Phillips, Jacobus E. van der Merwe
2021 J jnl
Predicting intent behind selections in scatterplot visualizations.
Inf. Vis.
Kiran Gadhave, Jochen Görtler, Zach Cutler, Carolina Nobre, Oliver Deussen, Miriah Meyer, Jeff M. Phillips, Alexander Lex
2021 A* conf
Self-Adaptable Point Processes with Nonparametric Time Decays.
NeurIPS
Zhimeng Pan, Zheng Wang, Jeff M. Phillips, Shandian Zhe
2021 J jnl
Semantic embedding for regions of interest.
VLDB J.
Debjyoti Paul, Feifei Li, Jeff M. Phillips
2021 — conf
Spatial Independent Range Sampling.
SIGMOD Conference
Dong Xie, Jeff M. Phillips, Michael Matheny, Feifei Li
2021 J jnl
The VC Dimension of Metric Balls under Fréchet and Hausdorff Distances.
Discret. Comput. Geom.
Anne Driemel, André Nusser, Jeff M. Phillips, Ioannis Psarros
2021 J jnl
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations.
CoRR
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
2021 J jnl
Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates.
IEEE Trans. Big Data
Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips
2020 J jnl
A Deterministic Streaming Sketch for Ridge Regression.
CoRR
Benwei Shi, Jeff M. Phillips
2020 J jnl
Near-Optimal Coresets of Kernel Density Estimates.
Discret. Comput. Geom.
Jeff M. Phillips, Wai Ming Tai
2020 J jnl
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings.
CoRR
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
2020 A* conf
On Measuring and Mitigating Biased Inferences of Word Embeddings.
AAAI
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
2020 J jnl
Orientation-Preserving Vectorized Distance Between Curves.
CoRR
Jeff M. Phillips, Hasan Pourmahmood Aghababa
2020 J jnl
Scalable Spatial Scan Statistics for Trajectories.
ACM Trans. Knowl. Discov. Data
Michael Matheny, Dong Xie, Jeff M. Phillips
2020 A* conf
Sketched MinDist.
SoCG
Jeff M. Phillips, Pingfan Tang
2020 — conf
The GaussianSketch for Almost Relative Error Kernel Distance.
APPROX-RANDOM
Jeff M. Phillips, Wai Ming Tai
2019 J jnl
Attenuating Bias in Word Vectors.
CoRR
Sunipa Dev, Jeff M. Phillips
2019 A conf
Attenuating Bias in Word vectors.
AISTATS
Sunipa Dev, Jeff M. Phillips
2019 A* conf
Closed Form Word Embedding Alignment.
ICDM
Sunipa Dev, Safia Hassan, Jeff M. Phillips
2019 J jnl
Finding the Mode of a Kernel Density Estimate.
CoRR
Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai
2019 A* conf
Independent Range Sampling, Revisited Again.
SoCG
Peyman Afshani, Jeff M. Phillips
2019 J jnl
Independent Range Sampling, Revisited Again.
CoRR
Peyman Afshani, Jeff M. Phillips
2019 J jnl
Learning In Practice: Reasoning About Quantization.
CoRR
Annie Cherkaev, Waiming Tai, Jeff M. Phillips, Vivek Srikumar
2019 J jnl
On Measuring and Mitigating Biased Inferences of Word Embeddings.
CoRR
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
2019 J jnl
Scalable Spatial Scan Statistics for Trajectories.
CoRR
Michael Matheny, Dong Xie, Jeff M. Phillips
2019 — conf
Simple Distances for Trajectories via Landmarks.
SIGSPATIAL/GIS
Jeff M. Phillips, Pingfan Tang
2019 J jnl
Sketched MinDist.
CoRR
Jeff M. Phillips, Pingfan Tang
2019 — conf
The Kernel Spatial Scan Statistic.
SIGSPATIAL/GIS
Mingxuan Han, Michael Matheny, Jeff M. Phillips
2019 J jnl
The Kernel Spatial Scan Statistic.
CoRR
Mingxuan Han, Michael Matheny, Jeff M. Phillips
2019 A* conf
The VC Dimension of Metric Balls Under Fréchet and Hausdorff Distances.
SoCG
Anne Driemel, Jeff M. Phillips, Ioannis Psarros
2019 J jnl
The VC Dimension of Metric Balls under Fréchet and Hausdorff Distances.
CoRR
Anne Driemel, Jeff M. Phillips, Ioannis Psarros
2018 J jnl
A Data-Dependent Distance for Regression.
CoRR
Jeff M. Phillips, Pingfan Tang
2018 J jnl
Absolute Orientation for Word Embedding Alignment.
CoRR
Sunipa Dev, Safia Hassan, Jeff M. Phillips
2018 A* conf
Approximating the Distribution of the Median and other Robust Estimators on Uncertain Data.
SoCG
Kevin Buchin, Jeff M. Phillips, Pingfan Tang
2018 B conf
Computing Approximate Statistical Discrepancy.
ISAAC
Michael Matheny, Jeff M. Phillips
2018 J jnl
Computing Approximate Statistical Discrepancy.
CoRR
Michael Matheny, Jeff M. Phillips
2018 — conf
Fully convolutional structured LSTM networks for joint 4D medical image segmentation.
ISBI
Yang Gao, Jeff M. Phillips, Yan Zheng, Renqiang Min, P. Thomas Fletcher, Guido Gerig
2018 J jnl
Improved Bounds on Information Dissemination by Manhattan Random Waypoint Model.
CoRR
Aria Rezaei, Jie Gao, Jeff M. Phillips, Csaba D. Tóth
2018 A* conf
Improved Coresets for Kernel Density Estimates.
SODA
Jeff M. Phillips, Wai Ming Tai
2018 — conf
Improved bounds on information dissemination by Manhattan Random Waypoint model.
SIGSPATIAL/GIS
Aria Rezaei, Jie Gao, Jeff M. Phillips, Csaba D. Tóth
2018 A* conf
Near-Optimal Coresets of Kernel Density Estimates.
SoCG
Jeff M. Phillips, Wai Ming Tai
2018 J jnl
Near-Optimal Coresets of Kernel Density Estimates.
CoRR
Jeff M. Phillips, Wai Ming Tai
2018 A conf
Practical Low-Dimensional Halfspace Range Space Sampling.
ESA
Michael Matheny, Jeff M. Phillips
2018 J jnl
Practical Low-Dimensional Halfspace Range Space Sampling.
CoRR
Michael Matheny, Jeff M. Phillips
2018 J jnl
Relative Error RKHS Embeddings for Gaussian Kernels.
CoRR
Jeff M. Phillips, Wai Ming Tai
2017 J jnl
An integrated classification scheme for mapping estimates and errors of estimation from the American Community Survey.
Comput. Environ. Urban Syst.
Ran Wei, Daoqin Tong, Jeff M. Phillips
2017 A* conf
Coresets for Kernel Regression.
KDD
Yan Zheng, Jeff M. Phillips
2017 J jnl
Coresets for Kernel Regression.
CoRR
Yan Zheng, Jeff M. Phillips
2017 J jnl
Distributed Trajectory Similarity Search.
Proc. VLDB Endow.
Dong Xie, Feifei Li, Jeff M. Phillips
2017 J jnl
Improved Coresets for Kernel Density Estimates.
CoRR
Jeff M. Phillips, Wai Ming Tai
2017 B conf
Relative Error Embeddings of the Gaussian Kernel Distance.
ALT
Di Chen, Jeff M. Phillips
2017 J jnl
Visualization of Big Spatial Data using Coresets for Kernel Density Estimates.
CoRR
Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips
2017 J jnl
Visualizing Sensor Network Coverage with Location Uncertainty.
CoRR
Tim Sodergren, Jessica Hair, Jeff M. Phillips, Bei Wang
2016 J jnl
Approximate Distribution of L1 Median on Uncertain Data.
CoRR
Jeff M. Phillips, Pingfan Tang
2016 J jnl
Coresets and Sketches.
CoRR
Jeff M. Phillips
2016 J jnl
EIC Editorial.
IEEE Trans. Knowl. Data Eng.
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
2016 A* conf
Efficient Frequent Directions Algorithm for Sparse Matrices.
KDD
Mina Ghashami, Edo Liberty, Jeff M. Phillips
2016 J jnl
Efficient Frequent Directions Algorithm for Sparse Matrices.
CoRR
Mina Ghashami, Edo Liberty, Jeff M. Phillips
2016 J jnl
Frequent Directions: Simple and Deterministic Matrix Sketching.
SIAM J. Comput.
Mina Ghashami, Edo Liberty, Jeff M. Phillips, David P. Woodruff
2016 J jnl
Improved Practical Matrix Sketching with Guarantees.
IEEE Trans. Knowl. Data Eng.
Amey Desai, Mina Ghashami, Jeff M. Phillips
2016 J jnl
Lower Bounds for Number-in-Hand Multiparty Communication Complexity, Made Easy.
SIAM J. Comput.
Jeff M. Phillips, Elad Verbin, Qin Zhang
2016 J jnl
Nearest-Neighbor Searching Under Uncertainty II.
CoRR
Pankaj K. Agarwal, Boris Aronov, Sariel Har-Peled, Jeff M. Phillips, Ke Yi, Wuzhou Zhang
2016 J jnl
Nearest-Neighbor Searching Under Uncertainty II.
ACM Trans. Algorithms
Pankaj K. Agarwal, Boris Aronov, Sariel Har-Peled, Jeff M. Phillips, Ke Yi, Wuzhou Zhang
2016 J jnl
Relative Error Embeddings for the Gaussian Kernel Distance.
CoRR
Di Chen, Jeff M. Phillips
2016 — conf
Scalable spatial scan statistics through sampling.
SIGSPATIAL/GIS
Michael Matheny, Raghvendra Singh, Liang Zhang, Kaiqiang Wang, Jeff M. Phillips
2016 A conf
Streaming Kernel Principal Component Analysis.
AISTATS
Mina Ghashami, Daniel J. Perry, Jeff M. Phillips
2016 — conf
The Robustness of Estimator Composition.
NIPS
Pingfan Tang, Jeff M. Phillips
2016 J jnl
The Robustness of Estimator Composition.
CoRR
Pingfan Tang, Jeff M. Phillips
2016 A conf
epsilon-Kernel Coresets for Stochastic Points.
ESA
Lingxiao Huang, Jian Li, Jeff M. Phillips, Haitao Wang
2015 J jnl
Frequent Directions : Simple and Deterministic Matrix Sketching.
CoRR
Mina Ghashami, Edo Liberty, Jeff M. Phillips, David P. Woodruff
2015 A* conf
Geometric Inference on Kernel Density Estimates.
SoCG
Jeff M. Phillips, Bei Wang, Yan Zheng
2015 J jnl
Improved Practical Matrix Sketching with Guarantees.
CoRR
Amey Desai, Mina Ghashami, Jeff M. Phillips
2015 A* conf
L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data.
KDD
Yan Zheng, Jeff M. Phillips
2015 J jnl
Streaming Kernel Principal Component Analysis.
CoRR
Mina Ghashami, Daniel J. Perry, Jeff M. Phillips
2015 B conf
Subsampling in Smoothed Range Spaces.
ALT
Jeff M. Phillips, Yan Zheng
2015 J jnl
Subsampling in Smoothed Range Spaces.
CoRR
Jeff M. Phillips, Yan Zheng
2014 J jnl
$ε$-Kernel Coresets for Stochastic Points.
CoRR
Jian Li, Jeff M. Phillips, Haitao Wang
2014 J jnl
Continuous Matrix Approximation on Distributed Data.
CoRR
Mina Ghashami, Jeff M. Phillips, Feifei Li
2014 J jnl
Continuous Matrix Approximation on Distributed Data.
Proc. VLDB Endow.
Mina Ghashami, Jeff M. Phillips, Feifei Li
2014 A conf
Improved Practical Matrix Sketching with Guarantees.
ESA
Mina Ghashami, Amey Desai, Jeff M. Phillips
2014 A* conf
Relative Errors for Deterministic Low-Rank Matrix Approximations.
SODA
Mina Ghashami, Jeff M. Phillips
2013 J jnl
(Approximate) Uncertain Skylines.
Theory Comput. Syst.
Peyman Afshani, Pankaj K. Agarwal, Lars Arge, Kasper Green Larsen, Jeff M. Phillips
2013 J jnl
Geometric Inference on Kernel Density Estimates.
CoRR
Jeff M. Phillips, Bei Wang, Yan Zheng
2013 J jnl
Mergeable summaries.
ACM Trans. Database Syst.
Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi
2013 A* conf
Nearest neighbor searching under uncertainty II.
PODS
Pankaj K. Agarwal, Boris Aronov, Sariel Har-Peled, Jeff M. Phillips, Ke Yi, Wuzhou Zhang
2013 — conf
Quality and efficiency for kernel density estimates in large data.
SIGMOD Conference
Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li
2013 — conf
Radio tomographic imaging and tracking of stationary and moving people via kernel distance.
IPSN
Yang Zhao, Neal Patwari, Jeff M. Phillips, Suresh Venkatasubramanian
2013 J jnl
Range Counting Coresets for Uncertain Data
CoRR
Amirali Abdullah, Samira Daruki, Jeff M. Phillips
2013 A* conf
Range counting coresets for uncertain data.
SoCG
Amirali Abdullah, Samira Daruki, Jeff M. Phillips
2013 J jnl
Relative Errors for Deterministic Low-Rank Matrix Approximations.
CoRR
Mina Ghashami, Jeff M. Phillips
2013 J jnl
Rethinking Abstractions for Big Data: Why, Where, How, and What.
CoRR
Mary W. Hall, Robert M. Kirby, Feifei Li, Miriah D. Meyer, Valerio Pascucci, Jeff M. Phillips, Robert Ricci, Jacobus E. van der Merwe, Suresh Venkatasubramanian
2013 A* conf
Є-Samples for Kernels.
SODA
Jeff M. Phillips
2012 J jnl
Chernoff-Hoeffding Inequality and Applications
CoRR
Jeff M. Phillips
2012 J jnl
Efficient Protocols for Distributed Classification and Optimization
CoRR
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012 B conf
Efficient Protocols for Distributed Classification and Optimization.
ALT
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012 A* conf
Efficient Threshold Monitoring for Distributed Probabilistic Data.
ICDE
Mingwang Tang, Feifei Li, Jeff M. Phillips, Jeffrey Jestes
2012 J jnl
Geometric Computations on Indecisive and Uncertain Points
CoRR
Allan Jørgensen, Maarten Löffler, Jeff M. Phillips
2012 A* conf
Lower bounds for number-in-hand multiparty communication complexity, made easy.
SODA
Jeff M. Phillips, Elad Verbin, Qin Zhang
2012 A* conf
Mergeable summaries.
PODS
Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi
2012 J jnl
Protocols for Learning Classifiers on Distributed Data
CoRR
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012 A conf
Protocols for Learning Classifiers on Distributed Data.
AISTATS
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012 J jnl
Ranking Large Temporal Data
CoRR
Jeffrey Jestes, Jeff M. Phillips, Feifei Li, Mingwang Tang
2012 J jnl
Ranking Large Temporal Data.
Proc. VLDB Endow.
Jeffrey Jestes, Jeff M. Phillips, Feifei Li, Mingwang Tang
2012 — conf
Sensor Network Localization for Moving Sensors.
ICDM Workshops
Arvind Agarwal, Hal Daumé III, Jeff M. Phillips, Suresh Venkatasubramanian
2012 B conf
Uncertainty visualization in HARDI based on ensembles of ODFs.
PacificVis
Fangxiang Jiao, Jeff M. Phillips, Yaniv Gur, Chris R. Johnson
2011 A conf
(Approximate) uncertain skylines.
ICDT
Peyman Afshani, Pankaj K. Agarwal, Lars Arge, Kasper Green Larsen, Jeff M. Phillips
2011 J jnl
A Gentle Introduction to the Kernel Distance
CoRR
Jeff M. Phillips, Suresh Venkatasubramanian
2011 — conf
Comparing distributions and shapes using the kernel distance.
SCG
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phillips, Suresh Venkatasubramanian
2011 J jnl
Generating a Diverse Set of High-Quality Clusterings
CoRR
Jeff M. Phillips, Parasaran Raman, Suresh Venkatasubramanian
2011 — conf
Generating a Diverse Set of High-Quality Clusterings.
MultiClust@ECML/PKDD
Jeff M. Phillips, Parasaran Raman, Suresh Venkatasubramanian
2011 B conf
Geometric Computations on Indecisive Points.
WADS
Allan Jørgensen, Maarten Löffler, Jeff M. Phillips
2011 B conf
Horoball Hulls and Extents in Positive Definite Space.
WADS
P. Thomas Fletcher, John Moeller, Jeff M. Phillips, Suresh Venkatasubramanian
2011 J jnl
Lower Bounds for Number-in-Hand Multiparty Communication Complexity, Made Easy
CoRR
Jeff M. Phillips, Elad Verbin, Qin Zhang
2011 J jnl
Spatially-Aware Comparison and Consensus for Clusterings
CoRR
Parasaran Raman, Jeff M. Phillips, Suresh Venkatasubramanian
2011 A conf
Spatially-Aware Comparison and Consensus for Clusterings.
SDM
Parasaran Raman, Jeff M. Phillips, Suresh Venkatasubramanian
2011 J jnl
ε-Samples of Kernels
CoRR
Jeff M. Phillips
2010 J jnl
A Unified Algorithmic Framework for Multi-Dimensional Scaling
CoRR
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
2010 B conf
Lipschitz Unimodal and Isotonic Regression on Paths and Trees.
LATIN
Pankaj K. Agarwal, Jeff M. Phillips, Bardia Sadri
2010 J jnl
Matching Shapes Using the Current Distance
CoRR
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phillips, Suresh Venkatasubramanian
2010 — conf
Metrics for Uncertainty Analysis and Visualization of Diffusion Tensor Images.
MIAR
Fangxiang Jiao, Jeff M. Phillips, Jeroen G. Stinstra, Jens Krger, Raj Varma Kommaraju, Edward W. Hsu, Julie R. Korenberg, Chris R. Johnson
2010 — conf
Stability of
ESA (1)
Pankaj K. Agarwal, Jeff M. Phillips, Hai Yu
2010 J jnl
Stability of epsilon-Kernels
CoRR
Pankaj K. Agarwal, Jeff M. Phillips, Hai Yu
2010 A* conf
Universal multi-dimensional scaling.
KDD
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
2009 J jnl
Computing Hulls And Centerpoints In Positive Definite Space
CoRR
P. Thomas Fletcher, John Moeller, Jeff M. Phillips, Suresh Venkatasubramanian
2009 J jnl
Lipschitz Unimodal and Isotonic Regression on Paths and Trees
CoRR
Pankaj K. Agarwal, Jeff M. Phillips, Bardia Sadri
2009 A conf
Shape Fitting on Point Sets with Probability Distributions.
ESA
Maarten Löffler, Jeff M. Phillips
2008 J jnl
Algorithms for eps-approximations of Terrains
CoRR
Jeff M. Phillips
2008 — conf
Algorithms for epsilon-Approximations of Terrains.
ICALP (1)
Jeff M. Phillips
2008 J jnl
An Efficient Algorithm for 2D Euclidean 2-Center with Outliers
CoRR
Pankaj K. Agarwal, Jeff M. Phillips
2008 A conf
An Efficient Algorithm for 2D Euclidean 2-Center with Outliers.
ESA
Pankaj K. Agarwal, Jeff M. Phillips
2008 J jnl
Shape Fitting on Point Sets with Probability Distributions
CoRR
Maarten Löffler, Jeff M. Phillips
2008 A conf
Spatial Scan Statistics for Graph Clustering.
SDM
Bei Wang, Jeff M. Phillips, Robert Schreiber, Dennis M. Wilkinson
2007 — conf
Outlier Robust ICP for Minimizing Fractional RMSD.
3DIM
Jeff M. Phillips, Ran Liu, Carlo Tomasi
2007 A* conf
Value-Based Notification Conditions in Large-Scale Publish/Subscribe Systems.
VLDB
Badrish Chandramouli, Jeff M. Phillips, Jun Yang
2006 — conf
On Bipartite Matching under the RMS Distance.
CCCG
Jeff M. Phillips, Pankaj K. Agarwal
2006 J jnl
Outlier Robust ICP for Minimizing Fractional RMSD
CoRR
Jeff M. Phillips, Ran Liu, Carlo Tomasi
2006 C conf
Segmenting Motifs in Protein-Protein Interface Surfaces.
WABI
Jeff M. Phillips, Johannes Rudolph, Pankaj K. Agarwal
2006 A* conf
Spatial scan statistics: approximations and performance study.
KDD
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu
2006 A* conf
The hunting of the bump: on maximizing statistical discrepancy.
SODA
Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
2005 J jnl
The Hunting of the Bump: On Maximizing Statistical Discrepancy
CoRR
Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
2004 A* conf
Guided Expansive Spaces Trees: a Search Strategy for Motion- and Cost-constrained State Spaces.
ICRA
Jeff M. Phillips, Nazareth Bedrossian, Lydia E. Kavraki
2002 A* conf
Simulated Knot Tying.
ICRA
Jeff M. Phillips, Andrew M. Ladd, Lydia E. Kavraki