Pasin Manurangsi
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Almost-polynomial ratio ETH-hardness of approximating densest k-subgraph
P Manurangsi
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing†…, 2017
Private aggregation from fewer anonymous messages
B Ghazi, P Manurangsi, R Pagh, A Velingker
Advances in Cryptology–EUROCRYPT 2020: 39th Annual International Conference†…, 2020
Deep learning with label differential privacy
B Ghazi, N Golowich, R Kumar, P Manurangsi, C Zhang
Advances in neural information processing systems 34, 27131-27145, 2021
From gap-eth to fpt-inapproximability: Clique, dominating set, and more
P Chalermsook, M Cygan, G Kortsarz, B Laekhanukit, P Manurangsi, ...
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS†…, 2017
A birthday repetition theorem and complexity of approximating dense CSPs
P Manurangsi, P Raghavendra
arXiv preprint arXiv:1607.02986, 2016
Large-scale differentially private BERT
R Anil, B Ghazi, V Gupta, R Kumar, P Manurangsi
arXiv preprint arXiv:2108.01624, 2021
On the parameterized complexity of approximating dominating set
CS Karthik, B Laekhanukit, P Manurangsi
50th Annual ACM Symposium on Theory of Computing, 1283-1296, 2018
Inapproximability of maximum edge biclique, maximum balanced biclique and minimum k-cut from the small set expansion hypothesis
P Manurangsi
44th International Colloquium on Automata, Languages, and Programming (ICALP†…, 2017
Tight hardness results for training depth-2 ReLU networks
S Goel, A Klivans, P Manurangsi, D Reichman
arXiv preprint arXiv:2011.13550, 2020
The price of fairness for indivisible goods
X Bei, X Lu, P Manurangsi, W Suksompong
Theory of Computing Systems 65, 1069-1093, 2021
A survey on approximation in parameterized complexity: Hardness and algorithms
AE Feldmann, E Lee, P Manurangsi
Algorithms 13 (6), 146, 2020
Differentially private clustering: Tight approximation ratios
B Ghazi, R Kumar, P Manurangsi
Advances in Neural Information Processing Systems 33, 4040-4054, 2020
Pure differentially private summation from anonymous messages
B Ghazi, N Golowich, R Kumar, P Manurangsi, R Pagh, A Velingker
arXiv preprint arXiv:2002.01919, 2020
Private robust estimation by stabilizing convex relaxations
P Kothari, P Manurangsi, A Velingker
Conference on Learning Theory, 723-777, 2022
Asymptotic existence of fair divisions for groups
P Manurangsi, W Suksompong
Mathematical Social Sciences 89, 100-108, 2017
Parameterized Intractability of Even Set and Shortest Vector Problem
A Bhattacharyya, … Bonnet, L Egri, S Ghoshal, B Lin, P Manurangsi, ...
Journal of the ACM (JACM) 68 (3), 1-40, 2021
A Note on Max -Vertex Cover: Faster FPT-AS, Smaller Approximate Kernel and Improved Approximation
P Manurangsi
arXiv preprint arXiv:1810.03792, 2018
User-level differentially private learning via correlated sampling
B Ghazi, R Kumar, P Manurangsi
Advances in Neural Information Processing Systems 34, 20172-20184, 2021
Private counting from anonymous messages: Near-optimal accuracy with vanishing communication overhead
B Ghazi, R Kumar, P Manurangsi, R Pagh
International Conference on Machine Learning, 3505-3514, 2020
Tight Running Time Lower Bounds for Strong Inapproximability of Maximum k-Coverage, Unique Set Cover and Related Problems (via t-Wise Agreement Testing†…
P Manurangsi
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete†…, 2020
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