Shahrzad Haddadan

According to our database, Shahrzad Haddadan authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

Optimally Improving Cooperative Learning in a Social Setting.

Shahrzad Haddadan, Cheng Xin, Jie Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

DeMEtRIS: Counting (near)-Cliques by Crawling.

Suman K. Bera, Jayesh Choudhari, Shahrzad Haddadan, Sara Ahmadian

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights.

Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal

Data Min. Knowl. Discov., 2022

The Drift of #MyBodyMyChoice Discourse on Twitter.

Cristina Menghini, Justin Uhr, Shahrzad Haddadan, Ashley Champagne, Björn Sandstede, Sohini Ramachandran

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

2021

Some Instances of Homomesy Among Ideals of Posets.

Shahrzad Haddadan

Electron. J. Comb., 2021

RePBubLik: Reducing Polarized Bubble Radius with Link Insertions.

Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal

Proceedings of the WSDM '21, 2021

Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds.

Shahrzad Haddadan, Yue Zhuang, Cyrus Cousins, Eli Upfal

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

The Wedge Picking Model: A dynamic graph model based on triadic closure.

Sara Ahmadian, Shahrzad Haddadan

CoRR, 2020

Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE.

Cyrus Cousins, Shahrzad Haddadan, Eli Upfal

CoRR, 2020

A theoretical analysis of graph evolution caused by triadic closure and algorithmic implications.

Sara Ahmadian, Shahrzad Haddadan

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Mixing of Permutations by Biased Transpositions.

Shahrzad Haddadan, Peter Winkler

Theory Comput. Syst., 2019

Mixing time bounds for graphlet random walks.

Matteo Agostini, Marco Bressan, Shahrzad Haddadan

Inf. Process. Lett., 2019

2018

Mallows Models for Top-k Lists.

Flavio Chierichetti, Anirban Dasgupta, Shahrzad Haddadan, Ravi Kumar, Silvio Lattanzi

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On the Complexity of Sampling Vertices Uniformly from a Graph.

Flavio Chierichetti, Shahrzad Haddadan

Proceedings of the 45th International Colloquium on Automata, Languages, and Programming, 2018

2017

On the Complexity of Sampling Nodes Uniformly from a Graph.

Flavio Chierichetti, Shahrzad Haddadan

CoRR, 2017

Mixing of Permutations by Biased Transposition.

Shahrzad Haddadan, Peter Winkler

Proceedings of the 34th Symposium on Theoretical Aspects of Computer Science, 2017

2016

Algorithmic Problems Arising in Posets and Permutations.

Shahrzad Haddadan

PhD thesis, 2016