Chris Schwiegelshohn

Orcid: 0000-0002-1202-0805

Affiliations:
  • Aarhus University, Denmark
  • TU Dortmund, Germany (former)


According to our database1, Chris Schwiegelshohn authored at least 50 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Adaptive Out-Orientations with Applications.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Low-Distortion Clustering with Ordinal and Limited Cardinal Information.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sparse Dimensionality Reduction Revisited.
CoRR, 2023

Optimally Interpolating between Ex-Ante Fairness and Welfare.
CoRR, 2023

Breaching the 2 LMP Approximation Barrier for Facility Location with Applications to <i>k</i>-Median.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

On Generalization Bounds for Projective Clustering.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deterministic Clustering in High Dimensional Spaces: Sketches and Approximation.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

Fitting Data on a Grain of Rice.
Proceedings of the Algorithmic Aspects of Cloud Computing - 8th International Symposium, 2023

Optimal Sketching Bounds for Sparse Linear Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Adaptive Out-Orientations with Applications.
CoRR, 2022

Breaching the 2 LMP Approximation Barrier for Facility Location with Applications to k-Median.
CoRR, 2022

Towards optimal lower bounds for k-median and k-means coresets.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Maintaining an EDCS in General Graphs: Simpler, Density-Sensitive and with Worst-Case Time Bounds.
Proceedings of the 5th Symposium on Simplicity in Algorithms, 2022

Improved Coresets for Euclidean k-Means.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scalable Differentially Private Clustering via Hierarchically Separated Trees.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

The Power of Uniform Sampling for Coresets.
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

An Empirical Evaluation of k-Means Coresets.
Proceedings of the 30th Annual European Symposium on Algorithms, 2022

2021
Algorithms for fair <i>k</i>-clustering with multiple protected attributes.
Oper. Res. Lett., 2021

Polynomial Time Approximation Schemes for All 1-Center Problems on Metric Rational Set Similarities.
Algorithmica, 2021

A new coreset framework for clustering.
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Similarity Search for Dynamic Data Streams.
IEEE Trans. Knowl. Data Eng., 2020

Fair Clustering with Multiple Colors.
CoRR, 2020

Commitment and Slack for Online Load Maximization.
Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

Spectral Relaxations and Fair Densest Subgraphs.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Principal Fairness: \\ Removing Bias via Projections.
CoRR, 2019

Maximizing Online Utilization with Commitment.
CoRR, 2019

Structural Results on Matching Estimation with Applications to Streaming.
Algorithmica, 2019

Algorithms for Fair Team Formation in Online Labour Marketplaces✱.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Fair Coresets and Streaming Algorithms for Fair k-means.
Proceedings of the Approximation and Online Algorithms - 17th International Workshop, 2019

Oblivious dimension reduction for <i>k</i>-means: beyond subspaces and the Johnson-Lindenstrauss lemma.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

(1 + ε)-Approximate Incremental Matching in Constant Deterministic Amortized Time.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Fully Dynamic Consistent Facility Location.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Coresets for Logistic Regression.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018
Coresets-Methods and History: A Theoreticians Design Pattern for Approximation and Streaming Algorithms.
Künstliche Intell., 2018

Fair Coresets and Streaming Algorithms for Fair k-Means Clustering.
CoRR, 2018

Sketch 'Em All: Fast Approximate Similarity Search for Dynamic Data Streams.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Random Projection to Preserve Patient Privacy.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

2017
On algorithms for large-scale graph and clustering problems
PhD thesis, 2017

One Size Fits All : Effectiveness of Local Search on Structured Data.
CoRR, 2017

On Finding the Jaccard Center.
Proceedings of the 44th International Colloquium on Automata, Languages, and Programming, 2017

Algorithmen für datenintensive Graph- und Clusteringprobleme.
Proceedings of the Ausgezeichnete Informatikdissertationen 2017, 2017

On the Local Structure of Stable Clustering Instances.
Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017

2016
Efficient Similarity Search in Dynamic Data Streams.
CoRR, 2016

Diameter and k-Center in Sliding Windows.
Proceedings of the 43rd International Colloquium on Automata, Languages, and Programming, 2016

The Power of Migration for Online Slack Scheduling.
Proceedings of the 24th Annual European Symposium on Algorithms, 2016

2015
Sublinear Estimation of Weighted Matchings in Dynamic Data Streams.
Proceedings of the Algorithms - ESA 2015, 2015

2013
BICO: BIRCH Meets Coresets for k-Means Clustering.
Proceedings of the Algorithms - ESA 2013, 2013

2012
Solving the Minimum String Cover Problem.
Proceedings of the 14th Meeting on Algorithm Engineering & Experiments, 2012

2009
PEPPA: a project for evolutionary predator prey algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009


  Loading...