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2020 – today
- 2023
[c13]Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee:
Robust Active Distillation. ICLR 2023- [c12]Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee:
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples. NeurIPS 2023 - [c11]Kishen N. Gowda, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
Improved Bi-point Rounding Algorithms and a Golden Barrier for k-Median. SODA 2023: 987-1011 - [i9]Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee:
SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation. CoRR abs/2302.03806 (2023) - 2022
- [j5]David G. Harris, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
Dependent randomized rounding for clustering and partition systems with knapsack constraints. J. Mach. Learn. Res. 23: 81:1-81:41 (2022) - [c10]Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee:
Weighted Distillation with Unlabeled Examples. NeurIPS 2022 - [i8]Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee:
Robust Active Distillation. CoRR abs/2210.01213 (2022) - [i7]Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee:
Weighted Distillation with Unlabeled Examples. CoRR abs/2210.06711 (2022) - [i6]Kishen N. Gowda, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
Improved Bi-point Rounding Algorithms and a Golden Barrier for k-Median. CoRR abs/2210.13395 (2022) - 2020
- [c9]David G. Harris, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
Dependent randomized rounding for clustering and partition systems with knapsack constraints. AISTATS 2020: 2273-2283
2010 – 2019
- 2019
- [j4]David G. Harris, Shi Li, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
Approximation Algorithms for Stochastic Clustering. J. Mach. Learn. Res. 20: 153:1-153:33 (2019) - [j3]David G. Harris, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
A Lottery Model for Center-Type Problems With Outliers. ACM Trans. Algorithms 15(3): 36:1-36:25 (2019) - 2018
- [j2]Jaroslaw Byrka
, Thomas W. Pensyl, Bartosz Rybicki, Joachim Spoerhase, Aravind Srinivasan, Khoa Trinh:
An Improved Approximation Algorithm for Knapsack Median Using Sparsification. Algorithmica 80(4): 1093-1114 (2018) - [c8]David G. Harris, Shi Li, Aravind Srinivasan, Khoa Trinh, Thomas W. Pensyl:
Approximation algorithms for stochastic clustering. NeurIPS 2018: 6041-6050 - [i5]David G. Harris, Shi Li, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
Approximation algorithms for stochastic clustering. CoRR abs/1809.02271 (2018) - 2017
- [b1]Khoa Trinh:
Approximation Algorithms for Facility Location and Clustering Problems. University of Maryland, College Park, MD, USA, 2017 - [j1]Jaroslaw Byrka, Thomas W. Pensyl, Bartosz Rybicki, Aravind Srinivasan, Khoa Trinh:
An Improved Approximation for k-Median and Positive Correlation in Budgeted Optimization. ACM Trans. Algorithms 13(2): 23:1-23:31 (2017) - [c7]David G. Harris, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
A Lottery Model for Center-Type Problems with Outliers. APPROX-RANDOM 2017: 10:1-10:19 - [i4]David G. Harris, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
Symmetric Randomized Dependent Rounding. CoRR abs/1709.06995 (2017) - [i3]David G. Harris, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
A Lottery Model for Center-type Problems With Outliers. CoRR abs/1710.00287 (2017) - 2015
- [c6]Jaroslaw Byrka, Thomas W. Pensyl, Bartosz Rybicki, Joachim Spoerhase, Aravind Srinivasan, Khoa Trinh:
An Improved Approximation Algorithm for Knapsack Median Using Sparsification. ESA 2015: 275-287 - [c5]Jaroslaw Byrka, Thomas W. Pensyl, Bartosz Rybicki, Aravind Srinivasan, Khoa Trinh:
An Improved Approximation for k-median, and Positive Correlation in Budgeted Optimization. SODA 2015: 737-756 - 2014
- [c4]Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares:
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD 2014: 1799-1808 - [i2]Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares:
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR abs/1402.7035 (2014) - [i1]Jaroslaw Byrka, Thomas W. Pensyl, Bartosz Rybicki, Aravind Srinivasan, Khoa Trinh:
An Improved Approximation for $k$-median, and Positive Correlation in Budgeted Optimization. CoRR abs/1406.2951 (2014) - 2011
- [c3]Khoa Trinh, Nguyen Dang, Tien Ba Dinh:
An Approximation Approach for a Real-World Variant of Vehicle Routing Problem. ACIIDS Posters 2011: 87-96 - [c2]Khoa Trinh, Jacques A. Ferland, Tien Ba Dinh:
A Stochastic Optimization Method for Solving the Machine-Part Cell Formation Problem. ICIC (1) 2011: 162-169
2000 – 2009
Coauthor Index
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