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Khoa Trinh
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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
3022017
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators
N Ramakrishnan, P Butler, S Muthiah, N Self, R Khandpur, P Saraf, ...
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
2962014
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
372019
An improved approximation algorithm for knapsack median using sparsification
J Byrka, T Pensyl, B Rybicki, J Spoerhase, A Srinivasan, K Trinh
Algorithmica 80, 1093-1114, 2018
182018
Approximation algorithms for stochastic clustering
DG Harris, S Li, T Pensyl, A Srinivasan, K Trinh
Journal of Machine Learning Research 20 (153), 1-33, 2019
172019
Improved Bi-point Rounding Algorithms and a Golden Barrier for k-Median
KN Gowda, T Pensyl, A Srinivasan, K Trinh
Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023
102023
A lottery model for center-type problems with outliers
DG Harris, T Pensyl, A Srinivasan, K Trinh
arXiv preprint arXiv:1710.00287, 2017
102017
Weighted distillation with unlabeled examples
F Iliopoulos, V Kontonis, C Baykal, G Menghani, K Trinh, E Vee
Advances in Neural Information Processing Systems 35, 7024-7037, 2022
92022
Robust active distillation
C Baykal, K Trinh, F Iliopoulos, G Menghani, E Vee
arXiv preprint arXiv:2210.01213, 2022
92022
Symmetric randomized dependent rounding
DG Harris, T Pensyl, A Srinivasan, K Trinh
CoRR, abs/1709.06995, 2017
52017
An Approximation Approach for a Real–World Variant of Vehicle Routing Problem
K Trinh, N Dang, T Dinh
New Challenges for Intelligent Information and Database Systems, 87-96, 2011
42011
Dependent randomized rounding for clustering and partition systems with knapsack constraints
DG Harris, T Pensyl, A Srinivasan, K Trinh
Journal of Machine Learning Research 23 (81), 1-41, 2022
32022
Fairness in resource allocation and slowed-down dependent rounding
DG Harris, T Pensyl, A Srinivasan, K Trinh
arXiv preprint arXiv:1704.06528, 2017
32017
A stochastic optimization method for solving the machine–part cell formation problem
K Trinh, J Ferland, T Dinh
Advanced Intelligent Computing: 7th International Conference, ICIC 2011 …, 2012
22012
Slam: Student-label mixing for distillation with unlabeled examples
V Kontonis, F Iliopoulos, K Trinh, C Baykal, G Menghani, E Vee
Advances in Neural Information Processing Systems 36, 2024
12024
SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation.
V Kontonis, F Iliopoulos, K Trinh, C Baykal, G Menghani, E Vee
arXiv preprint arXiv:2302.03806, 2023
12023
Dependent rounding for knapsack/partition constraints and facility location
DG Harris, T Pensyl, A Srinivasan, K Trinh
arXiv preprint arXiv:1709.06995, 2017
12017
Approximation Algorithms for Facility Location and Clustering Problems
K Trinh
University of Maryland, College Park, 2017
2017
A Randomized Local Search Algorithm for the Machine-Part Cell Formation Problem
K Trinh, JA Ferland, T Dinh
CIRRELT, 2011
2011
AN IMPROVED APPROXIMATION FOR κ-MEDIAN, AND POSITIVE CORRELATION IN BUDGETED OPTIMIZATION
J BYRKA, B RYBICKI, T PENSYL, K TRINH, A SRINIVASAN
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Articles 1–20