Statistical Learning

From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model ICML 2020 Generalisation error in learning with random features and the hidden manifold model ICML 2020 Generalization and Representational Limits of Graph Neural Networks ICML 2020 Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020 Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization NeurIPS 2020 Generalization Error of Generalized Linear Models in High Dimensions ICML 2020 Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features ICML 2020 General patterns and language variation: Word frequencies across English, German, and Chinese COLING 2020 Goodness-of-Fit Tests for Inhomogeneous Random Graphs ICML 2020 Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis AISTATS 2020 High-dimensional Gaussian graphical models on network-linked data JMLR 2020 High-Dimensional Inference for Cluster-Based Graphical Models JMLR 2020 High-dimensional Linear Discriminant Analysis Classifier for Spiked Covariance Model JMLR 2020 Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization ICML 2020 Hypothesis Testing Interpretations and Renyi Differential Privacy AISTATS 2020 Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data PGM 2020 Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020 Identifying Statistical Bias in Dataset Replication ICML 2020 Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation AISTATS 2020 Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms NeurIPS 2020 Imputation estimators for unnormalized models with missing data AISTATS 2020 Imputing typological values via phylogenetic inference EMNLP 2020 In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors ICML 2020 Inferring learning rules from animal decision-making NeurIPS 2020 Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies ICLR 2020