Jeff M. Phillips
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
26
Active years
2002–2026
Best venue rank
A*
Where they publish
- AESA7 papers
- A*KDD6 papers
- A*SODA5 papers
- AAISTATS4 papers
- A*ICLR3 papers
- A*ICDM3 papers
- A*SIGMOD3 papers
- BALT3 papers
- A*ICALP2 papers
- A*ICDE2 papers
- A*EMNLP2 papers
- BISAAC2 papers
- A*PODS2 papers
- ASDM2 papers
- BWADS2 papers
- A*ICRA2 papers
- A*ICML1 paper
- A*WWW1 paper
- ACIKM1 paper
- ASC1 paper
- NationalAMTA1 paper
- A*AAAI1 paper
- AICDT1 paper
- BLATIN1 paper
- A*VLDB1 paper
- CWABI1 paper
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICALP | The Expiration Streaming Model: Diameter, k-Center, Counting, Sampling, and Friends. | Lotte Blank, Sergio Cabello, Mohammad Taghi Hajiaghayi, Robert Krauthgamer, Sepideh Mahabadi, Andr Nusser, Jeff M. Phillips, Jonas Sauer |
| 2025 | AISTATS | Estimation of Large Zipfian Distributions with Sort and Snap. | Peter Matthew Jacobs, Anirban Bhattacharya, Debdeep Pati, Lekha Patel, Jeff M. Phillips |
| 2025 | ICLR | Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization. | Zhitong Xu, Haitao Wang, Jeff M. Phillips, Shandian Zhe |
| 2024 | ICML | No Dimensional Sampling Coresets for Classification. | Meysam Alishahi, Jeff M. Phillips |
| 2024 | WWW | Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. | Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai |
| 2023 | CIKM | An Efficient Content-based Time Series Retrieval System. | 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 | ICLR | 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 M. Phillips |
| 2023 | SC | An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report. | 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 |
| 2022 | AMTA | Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. | Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips |
| 2022 | ICDE | Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract). | Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian |
| 2022 | ICLR | 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 M. Phillips |
| 2021 | AISTATS | A Deterministic Streaming Sketch for Ridge Regression. | Benwei Shi, Jeff M. Phillips |
| 2021 | EMNLP | OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. | Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar |
| 2021 | EMNLP | Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. | Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang |
| 2021 | ESA | Finding an Approximate Mode of a Kernel Density Estimate. | Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai |
| 2021 | ICDM | Constrained Non-Affine Alignment of Embeddings. | Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips |
| 2021 | ISAAC | Approximate Maximum Halfspace Discrepancy. | Michael Matheny, Jeff M. Phillips |
| 2021 | KDD | A Visual Tour of Bias Mitigation Techniques for Word Representations. | Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang |
| 2021 | SIGMOD | Spatial Independent Range Sampling. | Dong Xie, Jeff M. Phillips, Michael Matheny, Feifei Li |
| 2021 | SIGMOD | At-the-time and Back-in-time Persistent Sketches. | Benwei Shi, Zhuoyue Zhao, Yanqing Peng, Feifei Li, Jeff M. Phillips |
| 2020 | AAAI | On Measuring and Mitigating Biased Inferences of Word Embeddings. | Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar |
| 2019 | AISTATS | Attenuating Bias in Word vectors. | Sunipa Dev, Jeff M. Phillips |
| 2019 | ICDM | Closed Form Word Embedding Alignment. | Sunipa Dev, Safia Hassan, Jeff M. Phillips |
| 2018 | ESA | Practical Low-Dimensional Halfspace Range Space Sampling. | Michael Matheny, Jeff M. Phillips |
| 2018 | ISAAC | Computing Approximate Statistical Discrepancy. | Michael Matheny, Jeff M. Phillips |
| 2018 | SODA | Improved Coresets for Kernel Density Estimates. | Jeff M. Phillips, Wai Ming Tai |
| 2017 | ALT | Relative Error Embeddings of the Gaussian Kernel Distance. | Di Chen, Jeff M. Phillips |
| 2017 | KDD | Coresets for Kernel Regression. | Yan Zheng, Jeff M. Phillips |
| 2016 | AISTATS | Streaming Kernel Principal Component Analysis. | Mina Ghashami, Daniel J. Perry, Jeff M. Phillips |
| 2016 | ESA | epsilon-Kernel Coresets for Stochastic Points. | Lingxiao Huang, Jian Li, Jeff M. Phillips, Haitao Wang |
| 2016 | KDD | Efficient Frequent Directions Algorithm for Sparse Matrices. | Mina Ghashami, Edo Liberty, Jeff M. Phillips |
| 2015 | ALT | Subsampling in Smoothed Range Spaces. | Jeff M. Phillips, Yan Zheng |
| 2015 | KDD | L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data. | Yan Zheng, Jeff M. Phillips |
| 2014 | ESA | Improved Practical Matrix Sketching with Guarantees. | Mina Ghashami, Amey Desai, Jeff M. Phillips |
| 2014 | SODA | Relative Errors for Deterministic Low-Rank Matrix Approximations. | Mina Ghashami, Jeff M. Phillips |
| 2013 | PODS | Nearest neighbor searching under uncertainty II. | Pankaj K. Agarwal, Boris Aronov, Sariel Har-Peled, Jeff M. Phillips, Ke Yi, Wuzhou Zhang |
| 2013 | SIGMOD | Quality and efficiency for kernel density estimates in large data. | Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li |
| 2013 | SODA | Є-Samples for Kernels. | Jeff M. Phillips |
| 2012 | ALT | Efficient Protocols for Distributed Classification and Optimization. | Hal Daum III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian |
| 2012 | ICDE | Efficient Threshold Monitoring for Distributed Probabilistic Data. | Mingwang Tang, Feifei Li, Jeff M. Phillips, Jeffrey Jestes |
| 2012 | ICDM | Sensor Network Localization for Moving Sensors. | Arvind Agarwal, Hal Daum III, Jeff M. Phillips, Suresh Venkatasubramanian |
| 2012 | PODS | Mergeable summaries. | Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi |
| 2012 | SODA | Lower bounds for number-in-hand multiparty communication complexity, made easy. | Jeff M. Phillips, Elad Verbin, Qin Zhang |
| 2011 | ICDT | (Approximate) uncertain skylines. | Peyman Afshani, Pankaj K. Agarwal, Lars Arge, Kasper Green Larsen, Jeff M. Phillips |
| 2011 | SDM | Spatially-Aware Comparison and Consensus for Clusterings. | Parasaran Raman, Jeff M. Phillips, Suresh Venkatasubramanian |
| 2011 | WADS | Horoball Hulls and Extents in Positive Definite Space. | P. Thomas Fletcher, John Moeller, Jeff M. Phillips, Suresh Venkatasubramanian |
| 2011 | WADS | Geometric Computations on Indecisive Points. | Allan Jrgensen, Maarten Lffler, Jeff M. Phillips |
| 2010 | ESA | Stability of | Pankaj K. Agarwal, Jeff M. Phillips, Hai Yu |
| 2010 | KDD | Universal multi-dimensional scaling. | Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian |
| 2010 | LATIN | Lipschitz Unimodal and Isotonic Regression on Paths and Trees. | Pankaj K. Agarwal, Jeff M. Phillips, Bardia Sadri |
| 2009 | ESA | Shape Fitting on Point Sets with Probability Distributions. | Maarten Lffler, Jeff M. Phillips |
| 2008 | ESA | An Efficient Algorithm for 2D Euclidean 2-Center with Outliers. | Pankaj K. Agarwal, Jeff M. Phillips |
| 2008 | ICALP | Algorithms for epsilon-Approximations of Terrains. | Jeff M. Phillips |
| 2008 | SDM | Spatial Scan Statistics for Graph Clustering. | Bei Wang, Jeff M. Phillips, Robert Schreiber, Dennis M. Wilkinson |
| 2007 | VLDB | Value-Based Notification Conditions in Large-Scale Publish/Subscribe Systems. | Badrish Chandramouli, Jeff M. Phillips, Jun Yang |
| 2006 | KDD | Spatial scan statistics: approximations and performance study. | Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu |
| 2006 | SODA | The hunting of the bump: on maximizing statistical discrepancy. | Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian |
| 2006 | WABI | Segmenting Motifs in Protein-Protein Interface Surfaces. | Jeff M. Phillips, Johannes Rudolph, Pankaj K. Agarwal |
| 2004 | ICRA | Guided Expansive Spaces Trees: a Search Strategy for Motion- and Cost-constrained State Spaces. | Jeff M. Phillips, Nazareth Bedrossian, Lydia E. Kavraki |
| 2002 | ICRA | Simulated Knot Tying. | Jeff M. Phillips, Andrew M. Ladd, Lydia E. Kavraki |