Showing 1–20 of 43 results
/ Date/ Name
Aug 17, 2021Statistically Near-Optimal Hypothesis SelectionOct 4, 2022The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide MinimaNov 28, 2017Are GANs Created Equal? A Large-Scale StudyMar 22, 2018Gradient Descent Quantizes ReLU Network FeaturesMay 24, 2017Approximation and Convergence Properties of Generative Adversarial LearningAug 31, 2022Fine-Grained Distribution-Dependent Learning CurvesFeb 10, 2022Monotone LearningMay 24, 2020Proper Learning, Helly Number, and an Optimal SVM BoundFeb 26, 2020Predicting Neural Network Accuracy from WeightsMay 26, 2019Precision-Recall Curves Using Information Divergence FrontiersMay 23, 2017Better Text Understanding Through Image-To-Text TransferJun 10, 2017Toward Optimal Run Racing: Application to Deep Learning CalibrationFeb 10, 2019The Optimal Approximation Factor in Density EstimationNov 9, 2020A Theory of Universal LearningJun 18, 2020What Do Neural Networks Learn When Trained With Random Labels?Dec 30, 2019Iterated Jackknives and Two-Sided Variance InequalitiesMay 27, 2019Practical and Consistent Estimation of f-DivergencesFeb 9, 2019Synthetic Data Generators: Sequential and PrivateJun 10, 2017Critical Hyper-Parameters: No Random, No CryOct 1, 2019A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark