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Statistical Learning

4,564 papers

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Papers

Energy-based models for atomic-resolution protein conformations ICLR 2020 Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions AISTATS 2020 Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks NeurIPS 2020 Estimating Stochastic Linear Combination of Non-Linear Regressions AAAI 2020 Estimating the Number and Effect Sizes of Non-null Hypotheses ICML 2020 Estimation of Skill Distribution from a Tournament NeurIPS 2020 Estimation Rates for Sparse Linear Cyclic Causal Models UAI 2020 Exact expressions for double descent and implicit regularization via surrogate random design NeurIPS 2020 Examining Citations of Natural Language Processing Literature ACL 2020 Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset ACL 2020 Extrapolating the profile of a finite population COLT 2020 Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate NeurIPS 2020 F0 Patterns in Mandarin Statements of Mandarin and Cantonese Speakers Interspeech 2020 Fairness constraints can help exact inference in structured prediction NeurIPS 2020 Fair regression via plug-in estimator and recalibration with statistical guarantees NeurIPS 2020 Familywise Error Rate Control by Interactive Unmasking ICML 2020 Fantastic Generalization Measures and Where to Find Them ICLR 2020 Fast and Bayes-consistent nearest neighbors AISTATS 2020 Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations ICML 2020 Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes JMLR 2020 Feature Noise Induces Loss Discrepancy Across Groups ICML 2020 Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests NeurIPS 2020 Free Energy Wells and Overlap Gap Property in Sparse PCA COLT 2020 Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions ICML 2020 From ImageNet to Image Classification: Contextualizing Progress on Benchmarks ICML 2020