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A Tighter Approximation Guarantee for Greedy Minimum Entropy Coupling.. ISIT, page 168-173. IEEE, (2022)New Partitioning Techniques and Faster Algorithms for Approximate Interval Scheduling., , and . ICALP, volume 261 of LIPIcs, page 45:1-45:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)New Partitioning Techniques and Faster Algorithms for Approximate Interval Scheduling., , and . CoRR, (2020)Entropic Causal Inference: Identifiability and Finite Sample Results., , , and . NeurIPS, (2020)Edge Matching with Inequalities, Triangles, Unknown Shape, and Two Players., , , , , , , , , and 5 other author(s). J. Inf. Process., (2020)Near-Optimal Mean Estimation with Unknown, Heteroskedastic Variances., and . STOC, page 194-200. ACM, (2024)New Partitioning Techniques and Faster Algorithms for Approximate Interval Scheduling., , and . Algorithmica, 86 (9): 2997-3026 (September 2024)Entropic Causal Inference: Graph Identifiability., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 4311-4343. PMLR, (2022)Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 10445-10469. PMLR, (2023)