Statistical Learning
4,564 papers
Papers per year
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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