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Thomas Pensyl
Thomas Pensyl
Computer Science Graduate Student, University of Maryland College Park
Verified email at cs.umd.edu - Homepage
Title
Cited by
Cited by
Year
An Improved Approximation for k-Median and Positive Correlation in Budgeted Optimization
J Byrka, T Pensyl, B Rybicki, A Srinivasan, K Trinh
ACM Transactions on Algorithms (TALG) 13 (2), 1-31, 2017
2372017
A lottery model for center-type problems with outliers
DG Harris, T Pensyl, A Srinivasan, K Trinh
ACM Transactions on Algorithms (TALG) 15 (3), 1-25, 2019
342019
Rational lecture hall polytopes and inflated Eulerian polynomials
TW Pensyl, CD Savage
The Ramanujan Journal 31 (1), 97-114, 2013
172013
An improved approximation algorithm for knapsack median using sparsification
J Byrka, T Pensyl, B Rybicki, J Spoerhase, A Srinivasan, K Trinh
Algorithmica 80 (4), 1093-1114, 2018
142018
Approximation algorithms for stochastic clustering
D Harris, S Li, A Srinivasan, K Trinh, T Pensyl
Advances in Neural Information Processing Systems 31, 2018
142018
Lecture Hall Partitions and the Wreath Products
TW Pensyl, CD Savage
Combinatorial Number Theory: Proceedings of the" Integers Conference 2011 …, 2013
14*2013
Symmetric randomized dependent rounding
DG Harris, T Pensyl, A Srinivasan, K Trinh
CoRR, abs/1709.06995, 2017
42017
Fairness in resource allocation and slowed-down dependent rounding
DG Harris, T Pensyl, A Srinivasan, K Trinh
arXiv preprint arXiv:1704.06528, 2017
32017
Dependent rounding for knapsack/partition constraints and facility location
DG Harris, T Pensyl, A Srinivasan, K Trinh
arXiv preprint arXiv:1709.06995, 2017
12017
Generation of non-symmetric synthetic datasets
TW Pensyl
North Carolina State University. Dept. of Computer Science, 2011
12011
Dependent randomized rounding for clustering and partition systems with knapsack constraints
D Harris, T Pensyl, A Srinivasan, K Trinh
International Conference on Artificial Intelligence and Statistics, 2273-2283, 2020
2020
Partial rounding and near-independence.
T Pensyl
2016
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Articles 1–12