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Eli Upfal

Brown University
IBM
Weizmann Institute of Science

340

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14420

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Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights - Data Mining and Knowledge Discovery

2022 Data Mining and Knowledge Discovery
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Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees.

2021 AISTATS | International Conference on Artificial Intelligence and Statistics
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Tiered Sampling: An Efficient Method for Counting Sparse Motifs in Massive Graph Streams

2021 ACM Transactions on Knowledge Discovery From Data
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Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds

2021 NeurIPS | Neural Information Processing Systems
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Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees

2021 ICML | International Conference on Machine Learning
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RePBubLik: Reducing Polarized Bubble Radius with Link Insertions

2021 WSDM | Web Search and Data Mining
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Auditing Wikipedia's Hyperlinks Network on Polarizing Topics.

2021 arXiv: Social and Information Networks
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RePBubLik: Reducing Polarized Bubble Radius with Link Insertions

2021 WSDM | Web Search and Data Mining
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Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds

2021 arXiv: Machine Learning
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Neuro-Hotnet: A Graph Theoretic Approach for Brain FC Estimation

2021 arXiv: Applications
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