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K. V. N. Sreenivas
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2020 – today
- 2024
- [c6]Anish Hebbar, Arindam Khan, K. V. N. Sreenivas:
Bin Packing under Random-Order: Breaking the Barrier of 3/2. SODA 2024: 4177-4219 - [i7]Anish Hebbar, Arindam Khan, K. V. N. Sreenivas:
Bin Packing under Random-Order: Breaking the Barrier of 3/2. CoRR abs/2401.04714 (2024) - 2023
- [c5]Siddharth Barman, Arindam Khan, Sudarshan Shyam, K. V. N. Sreenivas:
Finding Fair Allocations under Budget Constraints. AAAI 2023: 5481-5489 - [c4]Siddharth Barman, Arindam Khan, Sudarshan Shyam, K. V. N. Sreenivas:
Guaranteeing Envy-Freeness under Generalized Assignment Constraints. EC 2023: 242-269 - [i6]Siddharth Barman, Arindam Khan, Sudarshan Shyam, K. V. N. Sreenivas:
Guaranteeing Envy-Freeness under Generalized Assignment Constraints. CoRR abs/2305.01339 (2023) - 2022
- [c3]Arindam Khan, Eklavya Sharma, K. V. N. Sreenivas:
Geometry Meets Vectors: Approximation Algorithms for Multidimensional Packing. FSTTCS 2022: 23:1-23:22 - [c2]Nikhil Ayyadevara, Rajni Dabas, Arindam Khan, K. V. N. Sreenivas:
Near-Optimal Algorithms for Stochastic Online Bin Packing. ICALP 2022: 12:1-12:20 - [c1]Klaus Jansen, Arindam Khan, Marvin Lira, K. V. N. Sreenivas:
A PTAS for Packing Hypercubes into a Knapsack. ICALP 2022: 78:1-78:20 - [i5]Klaus Jansen, Arindam Khan, Marvin Lira, K. V. N. Sreenivas:
A PTAS for Packing Hypercubes into a Knapsack. CoRR abs/2202.11902 (2022) - [i4]Nikhil Ayyadevara, Rajni Dabas, Arindam Khan, K. V. N. Sreenivas:
Near-optimal Algorithms for Stochastic Online Bin Packing. CoRR abs/2205.03622 (2022) - [i3]Siddharth Barman, Arindam Khan, Sudarshan Shyam, K. V. N. Sreenivas:
Finding Fair Allocations under Budget Constraints. CoRR abs/2208.08168 (2022) - 2021
- [i2]Arindam Khan, Eklavya Sharma, K. V. N. Sreenivas:
Approximation Algorithms for Generalized Multidimensional Knapsack. CoRR abs/2102.05854 (2021) - [i1]Arindam Khan, Eklavya Sharma, K. V. N. Sreenivas:
Geometry Meets Vectors: Approximation Algorithms for Multidimensional Packing. CoRR abs/2106.13951 (2021)
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last updated on 2024-10-07 21:20 CEST by the dblp team
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