Jeff M. Phillips

According to our database1, Jeff M. Phillips
  • authored at least 99 papers between 2002 and 2018.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2018
Near-Optimal Coresets of Kernel Density Estimates.
CoRR, 2018

Improved Coresets for Kernel Density Estimates.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

2017
An integrated classification scheme for mapping estimates and errors of estimation from the American Community Survey.
Computers, Environment and Urban Systems, 2017

Distributed Trajectory Similarity Search.
PVLDB, 2017

Visualizing Sensor Network Coverage with Location Uncertainty.
CoRR, 2017

Improved Coresets for Kernel Density Estimates.
CoRR, 2017

Visualization of Big Spatial Data using Coresets for Kernel Density Estimates.
CoRR, 2017

Coresets for Kernel Regression.
CoRR, 2017

Coresets for Kernel Regression.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Relative Error Embeddings of the Gaussian Kernel Distance.
Proceedings of the International Conference on Algorithmic Learning Theory, 2017

2016
EIC Editorial.
IEEE Trans. Knowl. Data Eng., 2016

Improved Practical Matrix Sketching with Guarantees.
IEEE Trans. Knowl. Data Eng., 2016

Nearest-Neighbor Searching Under Uncertainty II.
ACM Trans. Algorithms, 2016

Lower Bounds for Number-in-Hand Multiparty Communication Complexity, Made Easy.
SIAM J. Comput., 2016

Frequent Directions: Simple and Deterministic Matrix Sketching.
SIAM J. Comput., 2016

The Robustness of Estimator Composition.
CoRR, 2016

Approximate Distribution of L1 Median on Uncertain Data.
CoRR, 2016

Coresets and Sketches.
CoRR, 2016

Efficient Frequent Directions Algorithm for Sparse Matrices.
CoRR, 2016

Relative Error Embeddings for the Gaussian Kernel Distance.
CoRR, 2016

Nearest-Neighbor Searching Under Uncertainty II.
CoRR, 2016

The Robustness of Estimator Composition.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Efficient Frequent Directions Algorithm for Sparse Matrices.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Scalable spatial scan statistics through sampling.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

epsilon-Kernel Coresets for Stochastic Points.
Proceedings of the 24th Annual European Symposium on Algorithms, 2016

Streaming Kernel Principal Component Analysis.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Subsampling in Smoothed Range Spaces.
CoRR, 2015

Streaming Kernel Principal Component Analysis.
CoRR, 2015

Frequent Directions : Simple and Deterministic Matrix Sketching.
CoRR, 2015

Improved Practical Matrix Sketching with Guarantees.
CoRR, 2015

L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Geometric Inference on Kernel Density Estimates.
Proceedings of the 31st International Symposium on Computational Geometry, 2015

Subsampling in Smoothed Range Spaces.
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014
Continuous Matrix Approximation on Distributed Data.
PVLDB, 2014

$ε$-Kernel Coresets for Stochastic Points.
CoRR, 2014

Continuous Matrix Approximation on Distributed Data.
CoRR, 2014

Relative Errors for Deterministic Low-Rank Matrix Approximations.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

Improved Practical Matrix Sketching with Guarantees.
Proceedings of the Algorithms - ESA 2014, 2014

2013
Mergeable summaries.
ACM Trans. Database Syst., 2013

(Approximate) Uncertain Skylines.
Theory Comput. Syst., 2013

Range Counting Coresets for Uncertain Data
CoRR, 2013

Geometric Inference on Kernel Density Estimates.
CoRR, 2013

Rethinking Abstractions for Big Data: Why, Where, How, and What.
CoRR, 2013

Relative Errors for Deterministic Low-Rank Matrix Approximations.
CoRR, 2013

Є-Samples for Kernels.
Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013

Quality and efficiency for kernel density estimates in large data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Nearest neighbor searching under uncertainty II.
Proceedings of the 32nd ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2013

Radio tomographic imaging and tracking of stationary and moving people via kernel distance.
Proceedings of the 12th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2013), 2013

Range counting coresets for uncertain data.
Proceedings of the Symposuim on Computational Geometry 2013, 2013

2012
Ranking Large Temporal Data.
PVLDB, 2012

Protocols for Learning Classifiers on Distributed Data.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Chernoff-Hoeffding Inequality and Applications
CoRR, 2012

Ranking Large Temporal Data
CoRR, 2012

Geometric Computations on Indecisive and Uncertain Points
CoRR, 2012

Efficient Protocols for Distributed Classification and Optimization
CoRR, 2012

Protocols for Learning Classifiers on Distributed Data
CoRR, 2012

Lower bounds for number-in-hand multiparty communication complexity, made easy.
Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2012

Mergeable summaries.
Proceedings of the 31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2012

Sensor Network Localization for Moving Sensors.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Efficient Threshold Monitoring for Distributed Probabilistic Data.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Uncertainty visualization in HARDI based on ensembles of ODFs.
Proceedings of the 2012 IEEE Pacific Visualization Symposium, 2012

Efficient Protocols for Distributed Classification and Optimization.
Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012

2011
ε-Samples of Kernels
CoRR, 2011

Generating a Diverse Set of High-Quality Clusterings
CoRR, 2011

Lower Bounds for Number-in-Hand Multiparty Communication Complexity, Made Easy
CoRR, 2011

A Gentle Introduction to the Kernel Distance
CoRR, 2011

Spatially-Aware Comparison and Consensus for Clusterings
CoRR, 2011

Geometric Computations on Indecisive Points.
Proceedings of the Algorithms and Data Structures - 12th International Symposium, 2011

Horoball Hulls and Extents in Positive Definite Space.
Proceedings of the Algorithms and Data Structures - 12th International Symposium, 2011

Spatially-Aware Comparison and Consensus for Clusterings.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Generating a Diverse Set of High-Quality Clusterings.
Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

(Approximate) uncertain skylines.
Proceedings of the Database Theory, 2011

Comparing distributions and shapes using the kernel distance.
Proceedings of the 27th ACM Symposium on Computational Geometry, 2011

2010
Stability of epsilon-Kernels
CoRR, 2010

A Unified Algorithmic Framework for Multi-Dimensional Scaling
CoRR, 2010

Matching Shapes Using the Current Distance
CoRR, 2010

Metrics for Uncertainty Analysis and Visualization of Diffusion Tensor Images.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Lipschitz Unimodal and Isotonic Regression on Paths and Trees.
Proceedings of the LATIN 2010: Theoretical Informatics, 2010

Universal multi-dimensional scaling.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Stability of epsilon-Kernels.
Proceedings of the Algorithms, 2010

2009
Lipschitz Unimodal and Isotonic Regression on Paths and Trees
CoRR, 2009

Computing Hulls And Centerpoints In Positive Definite Space
CoRR, 2009

Shape Fitting on Point Sets with Probability Distributions.
Proceedings of the Algorithms, 2009

2008
Shape Fitting on Point Sets with Probability Distributions
CoRR, 2008

An Efficient Algorithm for 2D Euclidean 2-Center with Outliers
CoRR, 2008

Algorithms for eps-approximations of Terrains
CoRR, 2008

Spatial Scan Statistics for Graph Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2008

Algorithms for epsilon-Approximations of Terrains.
Proceedings of the Automata, Languages and Programming, 35th International Colloquium, 2008

An Efficient Algorithm for 2D Euclidean 2-Center with Outliers.
Proceedings of the Algorithms, 2008

2007
Value-Based Notification Conditions in Large-Scale Publish/Subscribe Systems.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Outlier Robust ICP for Minimizing Fractional RMSD.
Proceedings of the Sixth International Conference on 3-D Digital Imaging and Modeling, 2007

2006
Outlier Robust ICP for Minimizing Fractional RMSD
CoRR, 2006

Segmenting Motifs in Protein-Protein Interface Surfaces.
Proceedings of the Algorithms in Bioinformatics, 6th International Workshop, 2006

The hunting of the bump: on maximizing statistical discrepancy.
Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2006

Spatial scan statistics: approximations and performance study.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

On Bipartite Matching under the RMS Distance.
Proceedings of the 18th Annual Canadian Conference on Computational Geometry, 2006

2005
The Hunting of the Bump: On Maximizing Statistical Discrepancy
CoRR, 2005

2004
Guided Expansive Spaces Trees: a Search Strategy for Motion- and Cost-constrained State Spaces.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2002
Simulated Knot Tying.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002


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