Suresh Venkatasubramanian

Orcid: 0000-0001-7679-7130

Affiliations:
  • Brown University, Providence, RI, USA
  • University of Utah, School of Computing, Salt Lake City, UT, USA


According to our database1, Suresh Venkatasubramanian authored at least 141 papers between 1989 and 2024.

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Bibliography

2024
Observing Context Improves Disparity Estimation when Race is Unobserved.
CoRR, 2024

Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers.
CoRR, 2024

Community Driven Approaches to Research in Technology & Society CCC Workshop Report.
CoRR, 2024

You Still See Me: How Data Protection Supports the Architecture of ML Surveillance.
CoRR, 2024

Agent-Based Simulation of Decision-Making Under Uncertainty to Study Financial Precarity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Designing Ethically-Integrated Assignments: It's Harder Than it Looks.
Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

The Misuse of AUC: What High Impact Risk Assessment Gets Wrong.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Reducing Access Disparities in Networks using Edge Augmentation✱.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022
Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Models for understanding and quantifying feedback in societal systems.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
A Research Ecosystem for Secure Computing.
CoRR, 2021

The (Im)possibility of fairness: different value systems require different mechanisms for fair decision making.
Commun. ACM, 2021

Shapley Residuals: Quantifying the limits of the Shapley value for explanations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Fairness in Networks: Social Capital, Information Access, and Interventions.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fair Clustering via Equitable Group Representations.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
The complexity of explaining neural networks through (group) invariants.
Theor. Comput. Sci., 2020

Interdisciplinary Approaches to Understanding Artificial Intelligence's Impact on Society.
CoRR, 2020

Clustering via Information Access in a Network.
CoRR, 2020

Evolving Methods for Evaluating and Disseminating Computing Research.
CoRR, 2020

Problems with Shapley-value-based explanations as feature importance measures.
Proceedings of the 37th International Conference on Machine Learning, 2020

The philosophical basis of algorithmic recourse.
Proceedings of the FAT* '20: Conference on Fairness, 2020

2019
Verifiable Stream Computation and Arthur-Merlin Communication.
SIAM J. Comput., 2019

Equalizing Recourse across Groups.
CoRR, 2019

Gaps in Information Access in Social Networks?
Proceedings of the World Wide Web Conference, 2019

Fairness in representation: quantifying stereotyping as a representational harm.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Algorithmic Fairness: Measures, Methods and Representations.
Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2019

Disentangling Influence: Using disentangled representations to audit model predictions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fairness and Abstraction in Sociotechnical Systems.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

A comparative study of fairness-enhancing interventions in machine learning.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018
Clustering on Streams.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Auditing black-box models for indirect influence.
Knowl. Inf. Syst., 2018

Sublinear Algorithms for MAXCUT and Correlation Clustering.
Proceedings of the 45th International Colloquium on Automata, Languages, and Programming, 2018

Runaway Feedback Loops in Predictive Policing.
Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

Decision making with limited feedback.
Proceedings of the Algorithmic Learning Theory, 2018

2017
Fair Pipelines.
CoRR, 2017

Computational Philosophy: On Fairness in Automated Decision Making.
Proceedings of the 28th International Symposium on Algorithms and Computation, 2017

2016
On the (im)possibility of fairness.
CoRR, 2016

Auditing Black-box Models by Obscuring Features.
CoRR, 2016

A Unified View of Localized Kernel Learning.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Continuous Kernel Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Streaming Verification of Graph Properties.
Proceedings of the 27th International Symposium on Algorithms and Computation, 2016

Auditing Black-Box Models for Indirect Influence.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
A Group Theoretic Perspective on Unsupervised Deep Learning.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Sketching, Embedding, and Dimensionality Reduction for Information Spaces.
CoRR, 2015

A Directed Isoperimetric Inequality with application to Bregman Near Neighbor Lower Bounds.
Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Certifying and Removing Disparate Impact.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Streaming Verification in Data Analysis.
Proceedings of the Algorithms and Computation - 26th International Symposium, 2015

You're crossing the line: Localizing border crossings using wireless RF links.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

2014
Multiple Target Tracking with RF Sensor Networks.
IEEE Trans. Mob. Comput., 2014

Why does Deep Learning work? - A perspective from Group Theory.
CoRR, 2014

Certifying and removing disparate impact.
CoRR, 2014

A Geometric Algorithm for Scalable Multiple Kernel Learning.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
On minimizing budget and time in influence propagation over social networks.
Soc. Netw. Anal. Min., 2013

Moving heaven and earth: distances between distributions.
SIGACT News, 2013

Computational geometry column 55: new developments in nonnegative matrix factorization.
SIGACT News, 2013

Approximate Bregman Near Neighbors in Sublinear Time: beyond the Triangle inequality.
Int. J. Comput. Geom. Appl., 2013

On Interactivity in Arthur-Merlin Communication and Stream Computation.
Electron. Colloquium Comput. Complex., 2013

The many stages of writing a paper, and how to close the deal.
XRDS, 2013

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

Power to the Points: Validating Data Memberships in Clusterings.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Track estimation using link line crossing information in wireless networks.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Clustering With Center Constraints.
Proceedings of the IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2013

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

Fast Multiple Kernel Learning With Multiplicative Weight Updates
CoRR, 2012

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

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

2011
Online Learning of Multiple Tasks and Their Relationships.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A Gentle Introduction to the Kernel Distance
CoRR, 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

Evaluating graph coloring on GPUs.
Proceedings of the 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2011

Active Supervised Domain Adaptation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

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

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

The Johnson-Lindenstrauss Transform: An Empirical Study.
Proceedings of the Thirteenth Workshop on Algorithm Engineering and Experiments, 2011

2010
Closeness: A New Privacy Measure for Data Publishing.
IEEE Trans. Knowl. Data Eng., 2010

Questions answered. in theory.: http://cstheory.stackexchange.com/.
SIGACT News, 2010

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

Matching Shapes Using the Current Distance
CoRR, 2010

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

Sketching Techniques for Large Scale NLP.
Proceedings of the Sixth Web as Corpus Workshop, 2010

2009
Clustering on Streams.
Proceedings of the Encyclopedia of Database Systems, 2009

Sublinear estimation of entropy and information distances.
ACM Trans. Algorithms, 2009

Information Theory For Data Management.
Proc. VLDB Endow., 2009

The geometric median on Riemannian manifolds with application to robust atlas estimation.
NeuroImage, 2009

Computing Hulls And Centerpoints In Positive Definite Space
CoRR, 2009

Approximate shape matching and symmetry detection for 3D shapes with guaranteed error bounds.
Proceedings of the IEEE International Conference on Shape Modeling and Applications, 2009

Streaming for large scale NLP: Language Modeling.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Streamed Learning: One-Pass SVMs.
Proceedings of the IJCAI 2009, 2009

Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Metric Functional Dependencies.
Proceedings of the 25th International Conference on Data Engineering, 2009

Type-based categorization of relational attributes.
Proceedings of the EDBT 2009, 2009

2008
Measures of Anonymity.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

Rectangular layouts and contact graphs.
ACM Trans. Algorithms, 2008

Validating Multi-column Schema Matchings by Type.
Proceedings of the 24th International Conference on Data Engineering, 2008

Robust statistics on Riemannian manifolds via the geometric median.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Curve Matching, Time Warping, and Light Fields: New Algorithms for Computing Similarity between Curves.
J. Math. Imaging Vis., 2007

Optimisation-on-a-manifold for global registration of multiple 3D point sets.
Int. J. Intell. Syst. Technol. Appl., 2007

Restricted strip covering and the sensor cover problem.
Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2007

t-Closeness: Privacy Beyond k-Anonymity and l-Diversity.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Directed graphs and rectangular layouts.
Proceedings of the APVIS 2007, 2007

2006
Dynamic simplification and visualization of large maps.
Int. J. Geogr. Inf. Sci., 2006

Streaming and sublinear approximation of entropy and information distances.
Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 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

Rapid Identification of Column Heterogeneity.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Column Heterogeneity as a Measure of Data Quality.
Proceedings of the First Int'l VLDB Workshop on Clean Databases, 2006

2005
vLOD: High-Fidelity Walkthrough of Large Virtual Environments.
IEEE Trans. Vis. Comput. Graph., 2005

Global Registration of Multiple 3D Point Sets via Optimization-on-a-Manifold.
Proceedings of the Third Eurographics Symposium on Geometry Processing, 2005

On stationarity in Internet measurements through an information-theoretic lens.
Proceedings of the 21st International Conference on Data Engineering Workshops, 2005

Hardware-Assisted Natural Neighbor Interpolation.
Proceedings of the Seventh Workshop on Algorithm Engineering and Experiments and the Second Workshop on Analytic Algorithmics and Combinatorics, 2005

2004
Combinatorial and Experimental Methods for Approximate Point Pattern Matching.
Algorithmica, 2004

Pattern Matching for Sets of Segments.
Algorithmica, 2004

Compressing Large Boolean Matrices using Reordering Techniques.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

2003
The Graphics Card as a Streaming Computer
CoRR, 2003

Approximate congruence in nearly linear time.
Comput. Geom., 2003

Application of the two-sided depth test to CSG rendering.
Proceedings of the 2003 Symposium on Interactive 3D Graphics, 2003

Streaming Geometric Optimization Using Graphics Hardware.
Proceedings of the Algorithms, 2003

Statistical data depth and the graphics hardware.
Proceedings of the Data Depth: Robust Multivariate Analysis, 2003

2002
Discrete mathematical problems with medical applications DIMACS volume 55.
SIGACT News, 2002

Hardware-assisted computation of depth contours.
Proceedings of the Thirteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2002

2001
Hardware-assisted view-dependent map simplification.
Proceedings of the Seventeenth Annual Symposium on Computational Geometry, 2001

2000
On the decidability of accessibility problems (extended abstract).
Proceedings of the Thirty-Second Annual ACM Symposium on Theory of Computing, 2000

On external memory graph traversal.
Proceedings of the Eleventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2000

1999
Geometric shape matching and drug design.
PhD thesis, 1999

A theory repository on the Web: a proposal.
SIGACT News, 1999

Geometric Matching Under Noise: Combinatorial Bounds and Algorithms.
Proceedings of the Tenth Annual ACM-SIAM Symposium on Discrete Algorithms, 1999

Geometric Pattern Matching: A Performance Study.
Proceedings of the Fifteenth Annual Symposium on Computational Geometry, 1999

1998
RAPID: Randomized pharmacophore identification for drug design.
Comput. Geom., 1998

The Connectivity Server: Fast Access to Linkage Information on the Web.
Comput. Networks, 1998

Proximity Search in Databases.
Proceedings of the VLDB'98, 1998

1997
Storage Management for Evolving Databases.
Proceedings of the 38th Annual Symposium on Foundations of Computer Science, 1997

1996
Efficient Indexing for Broadcast Based Wireless Systems.
Mob. Networks Appl., 1996

Geometric Manipulation of Flexible Ligands.
Proceedings of the Applied Computational Geormetry, 1996

1989
Algorithms for Weighted Graph Problems on The Modified Cellular Graph Automaton.
RAIRO Theor. Informatics Appl., 1989


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