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ORCIDMiklós Z. Rácz
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2020 – today
- 2023
[j14]Tatiana Brailovskaya
, Miklós Z. Rácz:
Tree trace reconstruction using subtraces. J. Appl. Probab. 60(2): 629-641 (2023)- [j13]Miklós Z. Rácz, Daniel E. Rigobon:
Towards Consensus: Reducing Polarization by Perturbing Social Networks. IEEE Trans. Netw. Sci. Eng. 10(6): 3450-3464 (2023) - [c12]Miklós Z. Rácz, Anirudh Sridhar:
Matching Correlated Inhomogeneous Random Graphs using the k-core Estimator. ISIT 2023: 2499-2504 - [i25]Miklós Z. Rácz, Anirudh Sridhar:
Matching Correlated Inhomogeneous Random Graphs using the $k$-core Estimator. CoRR abs/2302.05407 (2023) - 2022
- [j12]Konstantin Makarychev, Miklós Z. Rácz, Cyrus Rashtchian, Sergey Yekhanin:
Batch Optimization for DNA Synthesis. IEEE Trans. Inf. Theory 68(11): 7454-7470 (2022) - [j11]Mayee F. Chen, Miklós Z. Rácz:
An Adversarial Model of Network Disruption: Maximizing Disagreement and Polarization in Social Networks. IEEE Trans. Netw. Sci. Eng. 9(2): 728-739 (2022) - [c11]Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar:
Exact Community Recovery in Correlated Stochastic Block Models. COLT 2022: 2183-2241 - [i24]Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar:
Exact Community Recovery in Correlated Stochastic Block Models. CoRR abs/2203.15736 (2022) - [i23]Miklós Z. Rácz, Daniel E. Rigobon:
Towards Consensus: Reducing Polarization by Perturbing Social Networks. CoRR abs/2206.08996 (2022) - [i22]Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar:
Local canonical labeling of Erdős-Rényi random graphs. CoRR abs/2211.16454 (2022) - 2021
- [j10]Miklós Z. Rácz, Jacob Richey:
Rumor Source Detection With Multiple Observations Under Adaptive Diffusions. IEEE Trans. Netw. Sci. Eng. 8(1): 2-12 (2021) - [c10]Konstantin Makarychev, Miklós Z. Rácz, Cyrus Rashtchian, Sergey Yekhanin:
Batch Optimization for DNA Synthesis. ISIT 2021: 1949-1954 - [c9]Sami Davies, Miklós Z. Rácz, Benjamin G. Schiffer, Cyrus Rashtchian:
Approximate Trace Reconstruction: Algorithms. ISIT 2021: 2525-2530 - [c8]Miklós Z. Rácz, Anirudh Sridhar:
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities. NeurIPS 2021: 22259-22273 - [i21]Tatiana Brailovskaya, Miklós Z. Rácz:
Tree trace reconstruction using subtraces. CoRR abs/2102.01541 (2021) - [i20]Suqi Liu, Miklós Z. Rácz:
Phase transition in noisy high-dimensional random geometric graphs. CoRR abs/2103.15249 (2021) - [i19]Miklós Z. Rácz, Anirudh Sridhar:
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities. CoRR abs/2107.06767 (2021) - [i18]Suqi Liu, Miklós Z. Rácz:
A probabilistic view of latent space graphs and phase transitions. CoRR abs/2110.15886 (2021) - 2020
- [j9]Uriel Feige, David Gamarnik, Joe Neeman, Miklós Z. Rácz, Prasad Tetali:
Finding cliques using few probes. Random Struct. Algorithms 56(1): 142-153 (2020) - [i17]Mayee Chen, Miklós Z. Rácz:
Network disruption: maximizing disagreement and polarization in social networks. CoRR abs/2003.08377 (2020) - [i16]Miklós Z. Rácz, Anirudh Sridhar:
Correlated randomly growing graphs. CoRR abs/2004.13537 (2020) - [i15]Miklós Z. Rácz, Jacob Richey:
Rumor source detection with multiple observations under adaptive diffusions. CoRR abs/2006.11211 (2020) - [i14]Konstantin Makarychev, Miklós Z. Rácz, Cyrus Rashtchian, Sergey Yekhanin:
Batch Optimization for DNA Synthesis. CoRR abs/2011.14532 (2020) - [i13]Sami Davies, Miklós Z. Rácz, Cyrus Rashtchian, Benjamin G. Schiffer:
Approximate Trace Reconstruction. CoRR abs/2012.06713 (2020)
2010 – 2019
- 2019
- [c7]Sami Davies, Miklós Z. Rácz, Cyrus Rashtchian:
Reconstructing Trees from Traces. COLT 2019: 961-978 - [i12]Sami Davies, Miklós Z. Rácz, Cyrus Rashtchian:
Reconstructing Trees from Traces. CoRR abs/1902.05101 (2019) - [i11]Miklós Z. Rácz, Benjamin Schiffer:
Finding a planted clique by adaptive probing. CoRR abs/1903.12050 (2019) - 2018
- [j8]Laura Florescu, Yuval Peres, Miklós Z. Rácz:
Optimal Control for Diffusions on Graphs. SIAM J. Discret. Math. 32(4): 2941-2972 (2018) - [i10]Uriel Feige, David Gamarnik, Joe Neeman, Miklós Z. Rácz, Prasad Tetali:
Finding cliques using few probes. CoRR abs/1809.06950 (2018) - 2017
- [j7]Ronen Eldan, Miklós Z. Rácz, Tselil Schramm:
Braess's paradox for the spectral gap in random graphs and delocalization of eigenvectors. Random Struct. Algorithms 50(4): 584-611 (2017) - [c6]Adam Fourney, Miklós Z. Rácz, Gireeja Ranade, Markus Mobius, Eric Horvitz:
Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election. CIKM 2017: 2071-2074 - [c5]Cyrus Rashtchian, Konstantin Makarychev, Miklós Z. Rácz, Siena Ang, Djordje Jevdjic, Sergey Yekhanin, Luis Ceze, Karin Strauss:
Clustering Billions of Reads for DNA Data Storage. NIPS 2017: 3360-3371 - [i9]Yuval Peres, Miklós Z. Rácz, Allan Sly, Izabella Stuhl:
How fragile are information cascades? CoRR abs/1711.04024 (2017) - 2016
- [j6]Tonci Antunovic, Elchanan Mossel, Miklós Z. Rácz:
Coexistence in Preferential Attachment Networks. Comb. Probab. Comput. 25(6): 797-822 (2016) - [j5]Sébastien Bubeck, Jian Ding, Ronen Eldan, Miklós Z. Rácz:
Testing for high-dimensional geometry in random graphs. Random Struct. Algorithms 49(3): 503-532 (2016) - [c4]Victoria Kostina, Yuval Peres, Miklós Z. Rácz, Gireeja Ranade:
Rate-limited control of systems with uncertain gain. Allerton 2016: 1189-1196 - [c3]Shirshendu Ganguly, Elchanan Mossel, Miklós Z. Rácz:
Sequence assembly from corrupted shotgun reads. ISIT 2016: 265-269 - [i8]Shirshendu Ganguly, Elchanan Mossel, Miklós Z. Rácz:
Sequence assembly from corrupted shotgun reads. CoRR abs/1601.07086 (2016) - [i7]Miklós Z. Rácz, Sébastien Bubeck:
Basic models and questions in statistical network analysis. CoRR abs/1609.03511 (2016) - 2015
- [j4]Elchanan Mossel, Miklós Z. Rácz:
A quantitative Gibbard-Satterthwaite theorem without neutrality. Comb. 35(3): 317-387 (2015) - [j3]Sébastien Bubeck, Elchanan Mossel, Miklós Z. Rácz:
On the Influence of the Seed Graph in the Preferential Attachment Model. IEEE Trans. Netw. Sci. Eng. 2(1): 30-39 (2015) - [c2]Eric J. Friedman, Miklós Z. Rácz, Scott Shenker:
Dynamic Budget-Constrained Pricing in the Cloud. Canadian AI 2015: 114-121 - 2014
- [i6]Sébastien Bubeck, Elchanan Mossel, Miklós Z. Rácz:
On the influence of the seed graph in the preferential attachment model. CoRR abs/1401.4849 (2014) - [i5]Sébastien Bubeck, Ronen Eldan, Elchanan Mossel, Miklós Z. Rácz:
From trees to seeds: on the inference of the seed from large trees in the uniform attachment model. CoRR abs/1409.7685 (2014) - [i4]Sébastien Bubeck, Jian Ding, Ronen Eldan, Miklós Z. Rácz:
Testing for high-dimensional geometry in random graphs. CoRR abs/1411.5713 (2014) - 2013
- [j2]Elchanan Mossel, Ariel D. Procaccia, Miklós Z. Rácz:
A Smooth Transition from Powerlessness to Absolute Power. J. Artif. Intell. Res. 48: 923-951 (2013) - [i3]Tonci Antunovic, Elchanan Mossel, Miklós Z. Rácz:
Coexistence in preferential attachment networks. CoRR abs/1307.2893 (2013) - 2012
- [j1]Elchanan Mossel, Miklós Z. Rácz:
Election manipulation: the average case. SIGecom Exch. 11(2): 22-24 (2012) - [c1]Elchanan Mossel, Miklós Z. Rácz:
A quantitative gibbard-satterthwaite theorem without neutrality. STOC 2012: 1041-1060 - [i2]Elchanan Mossel, Ariel D. Procaccia, Miklós Z. Rácz:
A Smooth Transition from Powerlessness to Absolute Power. CoRR abs/1205.2074 (2012) - 2011
- [i1]Elchanan Mossel, Miklós Z. Rácz:
A quantitative Gibbard-Satterthwaite theorem without neutrality. CoRR abs/1110.5888 (2011)
Coauthor Index
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