Statistical Learning

Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations ICML 2021 Optimality of variational inference for stochasticblock model with missing links NeurIPS 2021 Optimal Off-Policy Evaluation from Multiple Logging Policies ICML 2021 Optimal Regularization can Mitigate Double Descent ICLR 2021 Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021 Outlier Impact Characterization for Time Series Data AAAI 2021 Out-of-Distribution Generalization in Kernel Regression NeurIPS 2021 Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction AAAI 2021 PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes COLT 2021 PAPRIKA: Private Online False Discovery Rate Control ICML 2021 PCA Initialization for Approximate Message Passing in Rotationally Invariant Models NeurIPS 2021 PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review JMLR 2021 Permutation Weighting ICML 2021 Pointwise Bounds for Distribution Estimation under Communication Constraints NeurIPS 2021 Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods ICML 2021 Post-selection inference with HSIC-Lasso ICML 2021 Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression AAAI 2021 Precise Minimax Regret for Logistic Regression with Categorical Feature Values ALT 2021 Predicting Deep Neural Network Generalization with Perturbation Response Curves NeurIPS 2021 Predicting the Success of Domain Adaptation in Text Similarity ACL 2021 Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond JMLR 2021 Prediction with Finitely many Errors Almost Surely AISTATS 2021 Predictive Learning on Hidden Tree-Structured Ising Models JMLR 2021 Predictive Power of Nearest Neighbors Algorithm under Random Perturbation AISTATS 2021 Principal Subspace Estimation Under Information Diffusion AISTATS 2021