The Conference on Learning Theory (COLT) is the primary venue for rigorous results in statistical and computational learning theory. It features single-track presentations on generalization, optimization, privacy, and algorithmic fairness. COLT's proofs-oriented culture drives foundational insights that underpin modern AI.
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