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Buddhima Gamlath
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2020 – today
- 2022
- [c7]Buddhima Gamlath, Silvio Lattanzi, Ashkan Norouzi-Fard, Ola Svensson:
Approximate Cluster Recovery from Noisy Labels. COLT 2022: 1463-1509 - 2021
- [b1]Buddhima Gamlath:
How to Match in Modern Computational Settings. EPFL, Switzerland, 2021 - [c6]Buddhima Gamlath, Xinrui Jia, Adam Polak, Ola Svensson:
Nearly-Tight and Oblivious Algorithms for Explainable Clustering. NeurIPS 2021: 28929-28939 - [i6]Buddhima Gamlath, Xinrui Jia, Adam Polak, Ola Svensson:
Nearly-Tight and Oblivious Algorithms for Explainable Clustering. CoRR abs/2106.16147 (2021) - 2020
- [c5]Buddhima Gamlath, Vadim Grinberg:
Approximating Star Cover Problems. APPROX-RANDOM 2020: 57:1-57:19
2010 – 2019
- 2019
- [c4]Buddhima Gamlath, Michael Kapralov, Andreas Maggiori
, Ola Svensson, David Wajc
:
Online Matching with General Arrivals. FOCS 2019: 26-37 - [c3]Buddhima Gamlath, Sagar Kale
, Slobodan Mitrovic, Ola Svensson:
Weighted Matchings via Unweighted Augmentations. PODC 2019: 491-500 - [c2]Buddhima Gamlath, Sagar Kale, Ola Svensson:
Beating Greedy for Stochastic Bipartite Matching. SODA 2019: 2841-2854 - [i5]Buddhima Gamlath, Michael Kapralov, Andreas Maggiori, Ola Svensson, David Wajc:
Online Matching with General Arrivals. CoRR abs/1904.08255 (2019) - [i4]Buddhima Gamlath, Sagar Kale, Ola Svensson:
Beating Greedy for Stochastic Bipartite Matching. CoRR abs/1909.12760 (2019) - [i3]Buddhima Gamlath, Vadim Grinberg:
Approximating Star Cover Problems. CoRR abs/1912.01195 (2019) - 2018
- [c1]Buddhima Gamlath, Sangxia Huang, Ola Svensson:
Semi-Supervised Algorithms for Approximately Optimal and Accurate Clustering. ICALP 2018: 57:1-57:14 - [i2]Buddhima Gamlath, Sangxia Huang, Ola Svensson:
Semi-Supervised Algorithms for Approximately Optimal and Accurate Clustering. CoRR abs/1803.00926 (2018) - [i1]Buddhima Gamlath, Sagar Kale, Slobodan Mitrovic, Ola Svensson:
Weighted Matchings via Unweighted Augmentations. CoRR abs/1811.02760 (2018)
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