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ORCIDNate Veldt
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- affiliation: Texas A&M University, College Station, TX, USA
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2020 – today
- 2024
[c26]Vicente Balmaseda, Ying Xu, Yixin Cao, Nate Veldt:
Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better. ICML 2024- [c25]Nate Veldt:
Growing a Random Maximal Independent Set Produces a 2-approximate Vertex Cover. SOSA 2024: 355-362 - [c24]Alex Crane
, Brian Lavallee, Blair D. Sullivan, Nate Veldt:
Overlapping and Robust Edge-Colored Clustering in Hypergraphs. WSDM 2024: 143-151 - [c23]Yufan Huang, David F. Gleich, Nate Veldt:
Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods. WWW 2024: 881-892 - [i32]Vicente Balmaseda, Ying Xu, Yixin Cao, Nate Veldt:
Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better. CoRR abs/2404.16131 (2024) - [i31]Vedangi Bengali, Nate Veldt:
On the tractability and approximability of non-submodular cardinality-based s-t cut problems in hypergraphs. CoRR abs/2409.16195 (2024) - 2023
- [j3]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Augmented Sparsifiers for Generalized Hypergraph Cuts. J. Mach. Learn. Res. 24: 207:1-207:50 (2023) - [c22]Vedangi Bengali, Nate Veldt:
Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling. CIKM 2023: 78-87 - [c21]Nate Veldt:
Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs. ICML 2023: 34924-34951 - [c20]Preston Piercey, Roger Pearce, Nate Veldt:
Coordinated Botnet Detection in Social Networks via Clustering Analysis. ICPP Workshops 2023: 192-196 - [c19]Nate Veldt:
Cut-matching Games for Generalized Hypergraph Ratio Cuts. WWW 2023: 694-704 - [i30]Nate Veldt:
Cut-matching Games for Generalized Hypergraph Ratio Cuts. CoRR abs/2301.12274 (2023) - [i29]Sinan G. Aksoy, Ryan S. Bennink, Yuzhou Chen, José Frías, Yulia R. Gel, Bill Kay, Uwe Naumann, Carlos Ortiz Marrero, Anthony V. Petyuk, Sandip Roy, Ignacio Segovia-Dominguez, Nate Veldt, Stephen J. Young:
Seven open problems in applied combinatorics. CoRR abs/2303.11464 (2023) - [i28]Simon Foucart, Chunyang Liao, Nate Veldt:
On the Optimal Recovery of Graph Signals. CoRR abs/2304.00474 (2023) - [i27]Alex Crane, Brian Lavallee, Blair D. Sullivan, Nate Veldt:
Overlapping and Robust Edge-Colored Clustering in Hypergraphs. CoRR abs/2305.17598 (2023) - [i26]Vedangi Bengali, Nate Veldt:
Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling. CoRR abs/2306.04884 (2023) - [i25]Yufan Huang, David F. Gleich, Nate Veldt:
Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods. CoRR abs/2310.13792 (2023) - 2022
- [j2]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Hypergraph Cuts with General Splitting Functions. SIAM Rev. 64(3): 650-685 (2022) - [c18]Nate Veldt:
Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds. ICML 2022: 22060-22083 - [c17]Austin R. Benson, Nate Veldt, David F. Gleich:
Fauci-Email: A JSON Digest of Anthony Fauci's Released Emails. ICWSM 2022: 1208-1217 - [c16]Ilya Amburg, Nate Veldt, Austin R. Benson:
Diverse and Experienced Group Discovery via Hypergraph Clustering. SDM 2022: 145-153 - [d1]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Combinatorial Measures of Higher-order Homophily for Group Interaction Datasets. Zenodo, 2022
- [i24]Nate Veldt:
Optimal LP Rounding and Fast Combinatorial Algorithms for Clustering Edge-Colored Hypergraphs. CoRR abs/2208.06506 (2022) - [i23]Nate Veldt:
Growing a Random Maximal Independent Set Produces a 2-approximate Vertex Cover. CoRR abs/2209.04673 (2022) - 2021
- [c15]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
The Generalized Mean Densest Subgraph Problem. KDD 2021: 1604-1614 - [c14]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components. NeurIPS 2021: 3744-3756 - [c13]Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich:
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. WWW 2021: 2092-2103 - [i22]Philip S. Chodrow, Nate Veldt, Austin R. Benson:
Generative hypergraph clustering: from blockmodels to modularity. CoRR abs/2101.09611 (2021) - [i21]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Higher-order Homophily is Combinatorially Impossible. CoRR abs/2103.11818 (2021) - [i20]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
The Generalized Mean Densest Subgraph Problem. CoRR abs/2106.00909 (2021) - [i19]Austin R. Benson, Nate Veldt, David F. Gleich:
fauci-email: a json digest of Anthony Fauci's released emails. CoRR abs/2108.01239 (2021) - [i18]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components. CoRR abs/2110.14859 (2021) - [i17]Nate Veldt:
Faster Deterministic Approximation Algorithms for Correlation Clustering and Cluster Deletion. CoRR abs/2111.10699 (2021) - 2020
- [c12]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Minimizing Localized Ratio Cut Objectives in Hypergraphs. KDD 2020: 1708-1718 - [c11]Nate Veldt, Anthony Wirth, David F. Gleich:
Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs. KDD 2020: 1868-1876 - [c10]Junhao Gan, David F. Gleich, Nate Veldt, Anthony Wirth, Xin Zhang:
Graph Clustering in All Parameter Regimes. MFCS 2020: 39:1-39:15 - [c9]Cameron Ruggles, Nate Veldt, David F. Gleich:
A Parallel Projection Method for Metric Constrained Optimization. CSC 2020: 43-53 - [c8]Ilya Amburg, Nate Veldt, Austin R. Benson:
Clustering in graphs and hypergraphs with categorical edge labels. WWW 2020: 706-717 - [i16]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Hypergraph Cuts with General Splitting Functions. CoRR abs/2001.02817 (2020) - [i15]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Localized Flow-Based Clustering in Hypergraphs. CoRR abs/2002.09441 (2020) - [i14]Nate Veldt, Anthony Wirth, David F. Gleich:
Parameterized Objectives and Algorithms for Clustering Bipartite Graphs and Hypergraphs. CoRR abs/2002.09460 (2020) - [i13]Ilya Amburg, Nate Veldt, Austin R. Benson:
Fair Clustering for Diverse and Experienced Groups. CoRR abs/2006.05645 (2020) - [i12]Austin R. Benson, Jon M. Kleinberg, Nate Veldt:
Augmented Sparsifiers for Generalized Hypergraph Cuts. CoRR abs/2007.08075 (2020) - [i11]Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich:
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. CoRR abs/2011.07752 (2020)
2010 – 2019
- 2019
- [j1]Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson:
Metric-Constrained Optimization for Graph Clustering Algorithms. SIAM J. Math. Data Sci. 1(2): 333-355 (2019) - [c7]Nate Veldt, Christine Klymko, David F. Gleich:
Flow-Based Local Graph Clustering with Better Seed Set Inclusion. SDM 2019: 378-386 - [c6]Nate Veldt, David F. Gleich, Anthony Wirth:
Learning Resolution Parameters for Graph Clustering. WWW 2019: 1909-1919 - [i10]Cameron Ruggles, Nate Veldt, David F. Gleich:
A Parallel Projection Method for Metric Constrained Optimization. CoRR abs/1901.10084 (2019) - [i9]Nate Veldt, David F. Gleich, Anthony Wirth:
Learning Resolution Parameters for Graph Clustering. CoRR abs/1903.05246 (2019) - [i8]Junhao Gan, David F. Gleich, Nate Veldt, Anthony Wirth, Xin Zhang:
Graph Clustering in All Parameter Regimes. CoRR abs/1910.06435 (2019) - [i7]Ilya Amburg, Nate Veldt, Austin R. Benson:
Hypergraph clustering with categorical edge labels. CoRR abs/1910.09943 (2019) - 2018
- [c5]David F. Gleich, Nate Veldt, Anthony Wirth:
Correlation Clustering Generalized. ISAAC 2018: 44:1-44:13 - [c4]Nate Veldt, David F. Gleich, Anthony Wirth:
A Correlation Clustering Framework for Community Detection. WWW 2018: 439-448 - [c3]Huda Nassar, Nate Veldt, Shahin Mohammadi, Ananth Grama, David F. Gleich:
Low Rank Spectral Network Alignment. WWW 2018: 619-628 - [i6]Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson:
A Projection Method for Metric-Constrained Optimization. CoRR abs/1806.01678 (2018) - [i5]David F. Gleich, Nate Veldt, Anthony Wirth:
Correlation Clustering Generalized. CoRR abs/1809.09493 (2018) - [i4]Nate Veldt, Christine Klymko, David F. Gleich:
Flow-Based Local Graph Clustering with Better Seed Set Inclusion. CoRR abs/1811.12280 (2018) - 2017
- [c2]Nate Veldt, Anthony Ian Wirth, David F. Gleich:
Correlation Clustering with Low-Rank Matrices. WWW 2017: 1025-1034 - [i3]Nate Veldt, David F. Gleich, Anthony Wirth:
Unifying Sparsest Cut, Cluster Deletion, and Modularity Clustering Objectives with Correlation Clustering. CoRR abs/1712.05825 (2017) - 2016
- [c1]Nate Veldt, David F. Gleich, Michael W. Mahoney:
A Simple and Strongly-Local Flow-Based Method for Cut Improvement. ICML 2016: 1938-1947 - [i2]Nate Veldt, David F. Gleich, Michael W. Mahoney:
A Simple and Strongly-Local Flow-Based Method for Cut Improvement. CoRR abs/1605.08490 (2016) - [i1]Nate Veldt, Anthony Wirth, David F. Gleich:
Correlation Clustering with Low-Rank Matrices. CoRR abs/1611.07305 (2016)
Coauthor Index
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last updated on 2024-10-17 21:29 CEST by the dblp team
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