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ORCIDEuiwoong Lee
- > Home > Persons > Euiwoong Lee
Publications
- 2024
[c51]Vincent Cohen-Addad, Chenglin Fan, Suprovat Ghoshal, Euiwoong Lee, Arnaud de Mesmay, Alantha Newman, Tony Chang Wang:
A PTAS for ℓ0-Low Rank Approximation: Solving Dense CSPs over Reals. SODA 2024: 935-961- [c49]Nairen Cao
, Vincent Cohen-Addad, Euiwoong Lee, Shi Li, Alantha Newman, Lukas Vogl:
Understanding the Cluster Linear Program for Correlation Clustering. STOC 2024: 1605-1616 - [i60]Vincent Cohen-Addad, Tommaso d'Orsi, Anupam Gupta, Euiwoong Lee, Debmalya Panigrahi:
Max-Cut with ε-Accurate Predictions. CoRR abs/2402.18263 (2024) - [i58]Nairen Cao, Vincent Cohen-Addad, Euiwoong Lee, Shi Li, Alantha Newman, Lukas Vogl:
Understanding the Cluster LP for Correlation Clustering. CoRR abs/2404.17509 (2024) - 2023
- [c47]Vincent Cohen-Addad, Euiwoong Lee, Shi Li, Alantha Newman:
Handling Correlated Rounding Error via Preclustering: A 1.73-approximation for Correlation Clustering. FOCS 2023: 1082-1104 - [c46]Vincent Cohen-Addad, Fabrizio Grandoni, Euiwoong Lee, Chris Schwiegelshohn:
Breaching the 2 LMP Approximation Barrier for Facility Location with Applications to k-Median. SODA 2023: 940-986 - [c44]Amir Abboud, Vincent Cohen-Addad, Euiwoong Lee, Pasin Manurangsi:
On the Fine-Grained Complexity of Approximating k-Center in Sparse Graphs. SOSA 2023: 145-155 - [i54]Vincent Cohen-Addad, Euiwoong Lee, Shi Li, Alantha Newman:
Handling Correlated Rounding Error via Preclustering: A 1.73-approximation for Correlation Clustering. CoRR abs/2309.17243 (2023) - [i53]Vincent Cohen-Addad, Chenglin Fan, Suprovat Ghoshal, Euiwoong Lee, Arnaud de Mesmay, Alantha Newman, Tony Chang Wang:
A PTAS for 𝓁0-Low Rank Approximation: Solving Dense CSPs over Reals. CoRR abs/2311.00892 (2023) - 2022
- [c43]Vincent Cohen-Addad, Chenglin Fan, Euiwoong Lee, Arnaud de Mesmay:
Fitting Metrics and Ultrametrics with Minimum Disagreements. FOCS 2022: 301-311 - [c42]Vincent Cohen-Addad, Euiwoong Lee, Alantha Newman:
Correlation Clustering with Sherali-Adams. FOCS 2022: 651-661 - [c41]Amir Abboud, Vincent Cohen-Addad, Euiwoong Lee, Pasin Manurangsi:
Improved Approximation Algorithms and Lower Bounds for Search-Diversification Problems. ICALP 2022: 7:1-7:18 - [c38]Vincent Cohen-Addad, Karthik C. S., Euiwoong Lee:
Johnson Coverage Hypothesis: Inapproximability of k-means and k-median in ℓp-metrics. SODA 2022: 1493-1530 - [i51]Amir Abboud, Vincent Cohen-Addad, Euiwoong Lee, Pasin Manurangsi:
Improved Approximation Algorithms and Lower Bounds for Search-Diversification Problems. CoRR abs/2203.01857 (2022) - [i50]Vincent Cohen-Addad, Fabrizio Grandoni, Euiwoong Lee, Chris Schwiegelshohn:
Breaching the 2 LMP Approximation Barrier for Facility Location with Applications to k-Median. CoRR abs/2207.05150 (2022) - [i49]Vincent Cohen-Addad, Euiwoong Lee, Alantha Newman:
Correlation Clustering with Sherali-Adams. CoRR abs/2207.10889 (2022) - [i48]Vincent Cohen-Addad, Chenglin Fan, Euiwoong Lee, Arnaud de Mesmay:
Fitting Metrics and Ultrametrics with Minimum Disagreements. CoRR abs/2208.13920 (2022) - 2021
- [c34]Vincent Cohen-Addad, Karthik C. S., Euiwoong Lee:
On Approximability of Clustering Problems Without Candidate Centers. SODA 2021: 2635-2648 - [i44]Vincent Cohen-Addad, Karthik C. S., Euiwoong Lee:
Johnson Coverage Hypothesis: Inapproximability of k-means and k-median in L_p metrics. CoRR abs/2111.10912 (2021) - [i41]Vincent Cohen-Addad, Karthik C. S., Euiwoong Lee:
Johnson Coverage Hypothesis: Inapproximability of k-means and k-median in $\ell_p$-metrics. Electron. Colloquium Comput. Complex. TR21 (2021) - 2020
- [i37]Vincent Cohen-Addad, Karthik C. S., Euiwoong Lee:
On Approximability of Clustering Problems Without Candidate Centers. CoRR abs/2010.00087 (2020) - 2019
- [c28]Vincent Cohen-Addad, Anupam Gupta, Amit Kumar, Euiwoong Lee, Jason Li:
Tight FPT Approximations for k-Median and k-Means. ICALP 2019: 42:1-42:14 - [i34]Vincent Cohen-Addad, Anupam Gupta, Amit Kumar, Euiwoong Lee, Jason Li:
Tight FPT Approximations for $k$-Median and k-Means. CoRR abs/1904.12334 (2019)
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