Vincent Cohen-Addad

Orcid: 0000-0002-0779-8962

Affiliations:
  • Google Zurich, Switzerland


According to our database1, Vincent Cohen-Addad authored at least 103 papers between 2014 and 2024.

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Bibliography

2024
Max-Cut with ε-Accurate Predictions.
CoRR, 2024

Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond.
CoRR, 2024

A Scalable Algorithm for Individually Fair K-means Clustering.
CoRR, 2024

A PTAS for <i>ℓ</i><sub>0</sub>-Low Rank Approximation: Solving Dense CSPs over Reals.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

2023
Special Section on the Fifty-Ninth Annual IEEE Symposium on Foundations of Computer Science (2018).
SIAM J. Comput., December, 2023

A Linear-Time <i>n</i><sup>0.4</sup>-Approximation for Longest Common Subsequence.
ACM Trans. Algorithms, January, 2023

A quasi-polynomial time algorithm for Multi-Dimensional Scaling via LP hierarchies.
CoRR, 2023

A PTAS for 𝓁<sub>0</sub>-Low Rank Approximation: Solving Dense CSPs over Reals.
CoRR, 2023

Streaming Euclidean MST to a Constant Factor.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

On the Fine-Grained Complexity of Approximating <i>k</i>-Center in Sparse Graphs.
Proceedings of the 2023 Symposium on Simplicity in Algorithms, 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

Private estimation algorithms for stochastic block models and mixture models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Swap k-Means++.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Searching with Predictions.
Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

Differentially Private Hierarchical Clustering with Provable Approximation Guarantees.
Proceedings of the International Conference on Machine Learning, 2023

Streaming Euclidean k-median and k-means with o(log n) Space.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

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

Planar and Minor-Free Metrics Embed into Metrics of Polylogarithmic Treewidth with Expected Multiplicative Distortion Arbitrarily Close to 1.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

Handling Correlated Rounding Error via Preclustering: A 1.73-approximation for Correlation Clustering.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

On Complexity of 1-Center in Various Metrics.
Proceedings of the Approximation, 2023

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

Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy.
CoRR, 2022

Improved Approximations for Euclidean k-means and k-median, via Nested Quasi-Independent Sets.
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

Improved approximations for Euclidean <i>k</i>-means and <i>k</i>-median, via nested quasi-independent sets.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Bypassing the surface embedding: approximation schemes for network design in minor-free graphs.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Johnson Coverage Hypothesis: Inapproximability of k-means and k-median in ℓ<sub>p</sub>-metrics.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

An Improved Local Search Algorithm for k-Median.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

A Massively Parallel Modularity-Maximizing Algorithm with Provable Guarantees.
Proceedings of the PODC '22: ACM Symposium on Principles of Distributed Computing, Salerno, Italy, July 25, 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

Near-Optimal Correlation Clustering with Privacy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Near-Optimal Private and Scalable $k$-Clustering.
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

A 2-Approximation for the Bounded Treewidth Sparsest Cut Problem in FPT Time.
Proceedings of the Integer Programming and Combinatorial Optimization, 2022

Massively Parallel k-Means Clustering for Perturbation Resilient Instances.
Proceedings of the International Conference on Machine Learning, 2022

Online and Consistent Correlation Clustering.
Proceedings of the International Conference on Machine Learning, 2022

Improved Approximation Algorithms and Lower Bounds for Search-Diversification Problems.
Proceedings of the 49th International Colloquium on Automata, Languages, and Programming, 2022

Correlation Clustering with Sherali-Adams.
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

Fitting Metrics and Ultrametrics with Minimum Disagreements.
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

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

Community Recovery in the Degree-Heterogeneous Stochastic Block Model.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

On Facility Location Problem in the Local Differential Privacy Model.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
A Near-Linear Approximation Scheme for Multicuts of Embedded Graphs With a Fixed Number of Terminals.
SIAM J. Comput., 2021

Mitigating COVID-19 outbreaks in workplaces and schools by hybrid telecommuting.
PLoS Comput. Biol., 2021

Almost Tight Lower Bounds for Hard Cutting Problems in Embedded Graphs.
J. ACM, 2021

Near-linear Time Approximation Schemes for Clustering in Doubling Metrics.
J. ACM, 2021

Johnson Coverage Hypothesis: Inapproximability of k-means and k-median in $\ell_p$-metrics.
Electron. Colloquium Comput. Complex., 2021

Johnson Coverage Hypothesis: Inapproximability of k-means and k-median in L_p metrics.
CoRR, 2021

A Linear-Time n<sup>0.4</sup>-Approximation for Longest Common Subsequence.
CoRR, 2021

A Quasipolynomial (2+ε)-Approximation for Planar Sparsest Cut.
CoRR, 2021

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

A quasipolynomial (2 + <i>ε</i>)-approximation for planar sparsest cut.
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

On Approximability of Clustering Problems Without Candidate Centers.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 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

Parallel and Efficient Hierarchical k-Median Clustering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Ultrametrics Embeddings Through Coresets.
Proceedings of the 38th International Conference on Machine Learning, 2021

Correlation Clustering in Constant Many Parallel Rounds.
Proceedings of the 38th International Conference on Machine Learning, 2021

On the Computational Tractability of a Geographic Clustering Problem Arising in Redistricting.
Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021

Fitting Distances by Tree Metrics Minimizing the Total Error within a Constant Factor.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

Online k-means Clustering.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
On the computational tractability of a geographic clustering problem arising in redistricting.
CoRR, 2020

New hardness results for planar graph problems in p and an algorithm for sparsest cut.
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020

Instance-Optimality in the Noisy Value-and Comparison-Model.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Approximation Schemes for Capacitated Clustering in Doubling Metrics.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Fast and Accurate $k$-means++ via Rejection Sampling.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Power of Louvain in the Stochastic Block Model.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Efficient Low Distortion Ultrametric Embedding.
Proceedings of the 37th International Conference on Machine Learning, 2020

On Light Spanners, Low-treewidth Embeddings and Efficient Traversing in Minor-free Graphs.
Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020

2019
Local Search Yields Approximation Schemes for k-Means and k-Median in Euclidean and Minor-Free Metrics.
SIAM J. Comput., 2019

Hierarchical Clustering: Objective Functions and Algorithms.
J. ACM, 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

Lower bounds for text indexing with mismatches and differences.
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

Subquadratic High-Dimensional Hierarchical Clustering.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Fixed-Parameter Tractability of Capacitated Clustering.
Proceedings of the 46th International Colloquium on Automata, Languages, and Programming, 2019

Tight FPT Approximations for k-Median and k-Means.
Proceedings of the 46th International Colloquium on Automata, Languages, and Programming, 2019

Near-Linear Time Approximations Schemes for Clustering in Doubling Metrics.
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

Inapproximability of Clustering in Lp Metrics.
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

A Polynomial-Time Approximation Scheme for Facility Location on Planar Graphs.
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

Efficient Approximation Schemes for Uniform-Cost Clustering Problems in Planar Graphs.
Proceedings of the 27th Annual European Symposium on Algorithms, 2019

2018
Instance-Optimality in the Noisy Value-and Comparison-Model - Accept, Accept, Strong Accept: Which Papers get in?
CoRR, 2018

Fast fencing.
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018

The Bane of Low-Dimensionality Clustering.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

A Fast Approximation Scheme for Low-Dimensional <i>k</i>-Means.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

Clustering Redemption-Beyond the Impossibility of Kleinberg's Axioms.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Balanced centroidal power diagrams for redistricting.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017
Steinberg's Conjecture is false.
J. Comb. Theory, Ser. B, 2017

Balanced power diagrams for redistricting.
CoRR, 2017

A Fast Approximation Scheme for Low-Dimensional k-Means.
CoRR, 2017

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

Hierarchical Clustering Beyond the Worst-Case.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

Fast and Compact Exact Distance Oracle for Planar Graphs.
Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017

Online Optimization of Smoothed Piecewise Constant Functions.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Algorithmic aspects of switch cographs.
Discret. Appl. Math., 2016

The power of local search for clustering.
CoRR, 2016

Approximating connectivity domination in weighted bounded-genus graphs.
Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing, 2016

The Invisible Hand of Dynamic Market Pricing.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

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

2015
A Fixed Parameter Tractable Approximation Scheme for the Optimal Cut Graph of a Surface.
Proceedings of the Algorithms - ESA 2015, 2015

Effectiveness of Local Search for Geometric Optimization.
Proceedings of the 31st International Symposium on Computational Geometry, 2015

2014
The Unreasonable Success of Local Search: Geometric Optimization.
CoRR, 2014

Energy-Efficient Algorithms for Non-preemptive Speed-Scaling.
Proceedings of the Approximation and Online Algorithms - 12th International Workshop, 2014


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