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Generalization Bounds

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TitleStatusHype
Margin-Based Generalization Lower Bounds for Boosted Classifiers—0
Mass Volume Curves and Anomaly Ranking—0
Maximum Margin Multiclass Nearest Neighbors—0
Maximum Margin Multi-Label Structured Prediction—0
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence—0
Mean-field methods and algorithmic perspectives for high-dimensional machine learning—0
Memory Classifiers: Two-stage Classification for Robustness in Machine Learning—0
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data—0
Minimax Statistical Learning with Wasserstein Distances—0
Minnorm training: an algorithm for training over-parameterized deep neural networks—0
Misclassification excess risk bounds for PAC-Bayesian classification via convexified loss—0
Multiaccurate Proxies for Downstream Fairness—0
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms—0
Multi-distance Support Matrix Machines—0
A Distributionally Robust Optimization Method for Adversarial Multiple Kernel Learning—0
Multi-task and Lifelong Learning of Kernels—0
Multi-Task Classification Hypothesis Space with Improved Generalization Bounds—0
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds—0
Natural Analysts in Adaptive Data Analysis—0
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions—0
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines—0
Nested Barycentric Coordinate System as an Explicit Feature Map—0
Neural Abstract Reasoner—0
Neural Drift Estimation for Ergodic Diffusions: Non-parametric Analysis and Numerical Exploration—0
Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena—0
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