Election manipulation: the average case. - Elchanan Mossel; Miklós Z. Rácz (SIGecom Exch., 2012)

A Smooth Transition from Powerlessness to Absolute Power. - Elchanan Mossel; Ariel D. Procaccia; Miklós Z. Rácz (J. Artif. Intell. Res., 2013)

From trees to seeds: on the inference of the seed from large trees in the uniform attachment model. - Sébastien Bubeck; Ronen Eldan; Elchanan Mossel; Miklós Z. Rácz (CoRR, 2014)

Dynamic Budget-Constrained Pricing in the Cloud. - Eric J. Friedman; Miklós Z. Rácz; Scott Shenker (Canadian AI, 2015)

A quantitative Gibbard-Satterthwaite theorem without neutrality. - Elchanan Mossel; Miklós Z. Rácz (Comb., 2015)

On the Influence of the Seed Graph in the Preferential Attachment Model. - Sébastien Bubeck; Elchanan Mossel; Miklós Z. Rácz (IEEE Trans. Netw. Sci. Eng., 2015)

Rate-limited control of systems with uncertain gain. - Victoria Kostina; Yuval Peres; Miklós Z. Rácz; Gireeja Ranade (Allerton, 2016)

Sequence assembly from corrupted shotgun reads. - Shirshendu Ganguly; Elchanan Mossel; Miklós Z. Rácz (ISIT, 2016)

Basic models and questions in statistical network analysis. - Miklós Z. Rácz; Sébastien Bubeck (CoRR, 2016)

Coexistence in Preferential Attachment Networks. - Tonci Antunovic; Elchanan Mossel; Miklós Z. Rácz (Comb. Probab. Comput., 2016)

Testing for high-dimensional geometry in random graphs. - Sébastien Bubeck; Jian Ding; Ronen Eldan; Miklós Z. Rácz (Random Struct. Algorithms, 2016)

Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election. - Adam Fourney; Miklós Z. Rácz; Gireeja Ranade; Markus Mobius; Eric Horvitz (CIKM, 2017)

Clustering Billions of Reads for DNA Data Storage. - Cyrus Rashtchian; Konstantin Makarychev; Miklós Z. Rácz; Siena Ang; Djordje Jevdjic; Sergey Yekhanin; Luis Ceze; Karin Strauss (NIPS, 2017)

How fragile are information cascades? - Yuval Peres; Miklós Z. Rácz; Allan Sly; Izabella Stuhl (CoRR, 2017)

Braess's paradox for the spectral gap in random graphs and delocalization of eigenvectors. - Ronen Eldan; Miklós Z. Rácz; Tselil Schramm (Random Struct. Algorithms, 2017)

Optimal Control for Diffusions on Graphs. - Laura Florescu; Yuval Peres; Miklós Z. Rácz (SIAM J. Discret. Math., 2018)

Reconstructing Trees from Traces. - Sami Davies; Miklós Z. Rácz; Cyrus Rashtchian (COLT, 2019)

Finding a planted clique by adaptive probing. - Miklós Z. Rácz; Benjamin Schiffer (CoRR, 2019)

Network disruption: maximizing disagreement and polarization in social networks. - Mayee F. Chen; Miklós Z. Rácz (CoRR, 2020)

Correlated randomly growing graphs. - Miklós Z. Rácz; Anirudh Sridhar (CoRR, 2020)

Approximate Trace Reconstruction. - Sami Davies; Miklós Z. Rácz; Cyrus Rashtchian; Benjamin G. Schiffer (CoRR, 2020)

Finding cliques using few probes. - Uriel Feige; David Gamarnik; Joe Neeman; Miklós Z. Rácz; Prasad Tetali (Random Struct. Algorithms, 2020)

Approximate Trace Reconstruction: Algorithms. - Sami Davies; Miklós Z. Rácz; Benjamin G. Schiffer; Cyrus Rashtchian (ISIT, 2021)

Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities. - Miklós Z. Rácz; Anirudh Sridhar (NeurIPS, 2021)

Phase transition in noisy high-dimensional random geometric graphs. - Suqi Liu; Miklós Z. Rácz (CoRR, 2021)

A probabilistic view of latent space graphs and phase transitions. - Suqi Liu; Miklós Z. Rácz (CoRR, 2021)

Rumor Source Detection With Multiple Observations Under Adaptive Diffusions. - Miklós Z. Rácz; Jacob Richey (IEEE Trans. Netw. Sci. Eng., 2021)

Exact Community Recovery in Correlated Stochastic Block Models. - Julia Gaudio; Miklós Z. Rácz; Anirudh Sridhar (COLT, 2022)

Local canonical labeling of Erdős-Rényi random graphs. - Julia Gaudio; Miklós Z. Rácz; Anirudh Sridhar (CoRR, 2022)

Batch Optimization for DNA Synthesis. - Konstantin Makarychev; Miklós Z. Rácz; Cyrus Rashtchian; Sergey Yekhanin (IEEE Trans. Inf. Theory, 2022)

An Adversarial Model of Network Disruption: Maximizing Disagreement and Polarization in Social Networks. - Mayee F. Chen; Miklós Z. Rácz (IEEE Trans. Netw. Sci. Eng., 2022)

Matching Correlated Inhomogeneous Random Graphs using the k-core Estimator. - Miklós Z. Rácz; Anirudh Sridhar (ISIT, 2023)

Towards Consensus: Reducing Polarization by Perturbing Social Networks. - Miklós Z. Rácz; Daniel E. Rigobon (IEEE Trans. Netw. Sci. Eng., 2023)

Tree trace reconstruction using subtraces. - Tatiana Brailovskaya; Miklós Z. Rácz (J. Appl. Probab., 2023)

Efficient Graph Matching for Correlated Stochastic Block Models. - Shuwen Chai; Miklós Z. Rácz (NeurIPS, 2024)

Harnessing Multiple Correlated Networks for Exact Community Recovery. - Miklós Z. Rácz; Jifan Zhang (NeurIPS, 2024)