Statistical Learning

Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables IJCAI 2020 Random Intersection Graphs and Missing Data AAAI 2020 Randomized tests for high-dimensional regression: A more efficient and powerful solution NeurIPS 2020 Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions ICML 2020 Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020 Refined bounds for algorithm configuration: The knife-edge of dual class approximability ICML 2020 Reliable Fidelity and Diversity Metrics for Generative Models ICML 2020 Reliable Graph Neural Networks via Robust Aggregation NeurIPS 2020 Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments COLING 2020 Results of the WMT20 Metrics Shared Task EMNLP 2020 Rethinking Bias-Variance Trade-off for Generalization of Neural Networks ICML 2020 Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve CVPR 2020 Risk Bounds for Low Cost Bipartite Ranking UAI 2020 Risk Bounds for Reservoir Computing JMLR 2020 Robust causal inference under covariate shift via worst-case subpopulation treatment effects COLT 2020 Robust Density Estimation under Besov IPM Losses NeurIPS 2020 Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time NeurIPS 2020 Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020 Robustness to Spurious Correlations via Human Annotations ICML 2020 Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis ICML 2020 Robust Persistence Diagrams using Reproducing Kernels NeurIPS 2020 Sample Amplification: Increasing Dataset Size even when Learning is Impossible ICML 2020 Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors ICML 2020 Sample Complexity of Kalman Filtering for Unknown Systems L4DC 2020 Sample Complexity of Uniform Convergence for Multicalibration NeurIPS 2020