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2020 – today
- 2022
[c10]Michael Kapralov, Mikhail Makarov, Sandeep Silwal, Christian Sohler, Jakab Tardos:
Motif Cut Sparsifiers. FOCS 2022: 389-398- [c9]Michael Kapralov, Amulya Musipatla, Jakab Tardos, David P. Woodruff, Samson Zhou:
Noisy Boolean Hidden Matching with Applications. ITCS 2022: 91:1-91:19 - [i10]Michael Kapralov, Mikhail Makarov, Sandeep Silwal, Christian Sohler, Jakab Tardos:
Motif Cut Sparsifiers. CoRR abs/2204.09951 (2022) - 2021
- [c8]Michael Kapralov, Robert Krauthgamer, Jakab Tardos, Yuichi Yoshida:
Spectral Hypergraph Sparsifiers of Nearly Linear Size. FOCS 2021: 1159-1170 - [c7]Michael Kapralov, Silvio Lattanzi, Navid Nouri, Jakab Tardos:
Efficient and Local Parallel Random Walks. NeurIPS 2021: 21375-21387 - [c6]Yuchen Wu, Jakab Tardos, MohammadHossein Bateni, André Linhares, Filipe Miguel Gonçalves de Almeida, Andrea Montanari, Ashkan Norouzi-Fard:
Streaming Belief Propagation for Community Detection. NeurIPS 2021: 26976-26988 - [c5]Michael Kapralov, Gilbert Maystre, Jakab Tardos:
Communication Efficient Coresets for Maximum Matching. SOSA 2021: 156-164 - [c4]Michael Kapralov, Robert Krauthgamer, Jakab Tardos, Yuichi Yoshida:
Towards tight bounds for spectral sparsification of hypergraphs. STOC 2021: 598-611 - [i9]Michael Kapralov, Robert Krauthgamer, Jakab Tardos, Yuichi Yoshida:
Spectral Hypergraph Sparsifiers of Nearly Linear Size. CoRR abs/2106.02353 (2021) - [i8]Yuchen Wu, MohammadHossein Bateni, André Linhares, Filipe Miguel Gonçalves de Almeida, Andrea Montanari, Ashkan Norouzi-Fard, Jakab Tardos:
Streaming Belief Propagation for Community Detection. CoRR abs/2106.04805 (2021) - [i7]Michael Kapralov, Amulya Musipatla, Jakab Tardos, David P. Woodruff, Samson Zhou:
Noisy Boolean Hidden Matching with Applications. CoRR abs/2107.02578 (2021) - [i6]Michael Kapralov, Silvio Lattanzi, Navid Nouri, Jakab Tardos:
Efficient and Local Parallel Random Walks. CoRR abs/2112.00655 (2021) - 2020
- [c3]Marwa El Halabi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski:
Fairness in Streaming Submodular Maximization: Algorithms and Hardness. NeurIPS 2020 - [c2]Michael Kapralov, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakab Tardos:
Space Efficient Approximation to Maximum Matching Size from Uniform Edge Samples. SODA 2020: 1753-1772 - [c1]Michael Kapralov, Aida Mousavifar, Cameron Musco, Christopher Musco
, Navid Nouri, Aaron Sidford, Jakab Tardos:
Fast and Space Efficient Spectral Sparsification in Dynamic Streams. SODA 2020: 1814-1833 - [i5]Marwa El Halabi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski:
Fairness in Streaming Submodular Maximization: Algorithms and Hardness. CoRR abs/2010.07431 (2020) - [i4]Michael Kapralov, Gilbert Maystre, Jakab Tardos:
Communication Efficient Coresets for Maximum Matching. CoRR abs/2011.06481 (2020) - [i3]Michael Kapralov, Robert Krauthgamer, Jakab Tardos, Yuichi Yoshida:
Towards Tight Bounds for Spectral Sparsification of Hypergraphs. CoRR abs/2011.06530 (2020)
2010 – 2019
- 2019
- [i2]Michael Kapralov, Navid Nouri, Aaron Sidford, Jakab Tardos:
Dynamic Streaming Spectral Sparsification in Nearly Linear Time and Space. CoRR abs/1903.12150 (2019) - [i1]Michael Kapralov, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakab Tardos:
Space Efficient Approximation to Maximum Matching Size from Uniform Edge Samples. CoRR abs/1907.05725 (2019)
Coauthor Index
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