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Vaishnavh Nagarajan

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The Pitfalls of Next-token PredictionEmerging Generalization Settings 20242024-09-09
Argues that next-token prediction splits into distinct phases—autoregressive inference and teacher-forcing training—and that teacher‑forcing can provably fail…
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Learning the Best Agorithm for Max-Cut, Clustering, and Other​ ​Partitioning ProblemsLearning, Algorithm Design and Beyond Worst-Case Analysis2016-11-14
Proves that two natural algorithm families—agglomerative alpha-linkage clusterings and Feige–Langberg S‑linear SDP roundings for MaxCut—have sample complexity…
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