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minimax analysis

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online learning (3) semi-supervised learning (3) regret bound (2) unlabeled data (2) reconstruction-based learning (1) reviewer assignment (1) information-theoretic limit (1) randomized method (1) adaptive boosting (1) minimax value (1)

Papers

Perfect Matching Map Recovery Under Unknown Scalar Affine Transformation UAI 2026 The Price of Knowledge: Optimal Algorithms for Costly Bandits UAI 2026 Unlabeled Data Help: Minimax Analysis and Adversarial Robustness AISTATS 2022 PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review JMLR 2021 Marginal Singularity, and the Benefits of Labels in Covariate-Shift COLT 2018 A Drifting-Games Analysis for Online Learning and Applications to Boosting NeurIPS 2014 Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees AISTATS 2014 Manifold Regularization and Semi-supervised Learning: Some Theoretical Analyses JMLR 2013 Relax and Randomize : From Value to Algorithms NeurIPS 2012 Noise Thresholds for Spectral Clustering NeurIPS 2011 Online Learning: Stochastic, Constrained, and Smoothed Adversaries NeurIPS 2011 Statistical Analysis of Semi-Supervised Regression NeurIPS 2007