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Sara Ahmadian

9 papers · 2020–2024 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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๐ŸŒ Conference Polyglot ยท Silver ๐ŸŒ‰ Interdisciplinary Bridge ยท Silver ๐Ÿ—บ๏ธ Taxonomy Completionist (13) ๐Ÿฃ Hot Topic Early Bird

Venues

AISTATS (4) ACL (1) ICLR (1) ICML (1) JMLR (1) NeurIPS (1)

Top co-authors

Mohammad Mahdian (4) Alessandro Epasto (3) Andrew McCallum (2) Deepak Ramachandran (2) Sandeep Silwal (2) Ravi Kumar (2) Andrew Nystrom (2) Vaggos Chatziafratis (2) Grigory Yaroslavtsev (1) Philip Pham (1)

Research topics

Machine Learning (7) Core Methods (6) Mathematics & Optimization (4) Optimization (4) Computer Science (3) Application Areas (3) Foundations (2) Data Science & Analytics (1) Applications (1) Learning Types (1) Mathematics (1) Systems (1)

Keywords

approximation algorithm (4) hierarchical clustering (3) correlation clustering (3) fair clustering (2) combinatorial optimization (2) pairwise similarity (1) k-median clustering (1) clustering algorithm (1) online algorithm (1) k-center clustering (1) fairness constraint (1) load balancing (1) multiplicative weights update (1) protected group (1) fairlet decomposition (1) balls into bin (1) text clustering (1) adaptive input (1) embedding-based model (1) post processing (1)

Papers

Unmasking Vulnerabilities: Cardinality Sketches under Adaptive Inputs ICML 2024 Improved Approximation for Fair Correlation Clustering AISTATS 2023 KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals ACL 2023 KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals ICLR 2023 Robust Load Balancing with Machine Learned Advice JMLR 2023 Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT AISTATS 2021 Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection AISTATS 2020 Fair Correlation Clustering AISTATS 2020 Fair Hierarchical Clustering NeurIPS 2020