statistical learning

Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions ICML 2020 Scaling Hidden Markov Language Models EMNLP 2020 Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful UAI 2020 Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification ICML 2020 Statistical Learning with a Nuisance Component (Extended Abstract) IJCAI 2020 The All-or-Nothing Phenomenon in Sparse Tensor PCA NeurIPS 2020 The estimation error of general first order methods COLT 2020 The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization JMLR 2020 Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View NeurIPS 2020 A Robust Zero-Sum Game Framework for Pool-based Active Learning AISTATS 2019 A Swiss Army Infinitesimal Jackknife AISTATS 2019 A tight excess risk bound via a unified PAC-Bayesian–Rademacher–Shtarkov–MDL complexity ALT 2019 Concentration Inequalities for Conditional Value at Risk ICML 2019 Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor NeurIPS 2019 Doubly-Competitive Distribution Estimation ICML 2019 Generalized Batch Normalization: Towards Accelerating Deep Neural Networks AAAI 2019 Learning to Screen NeurIPS 2019 Locally Private Gaussian Estimation NeurIPS 2019 Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments NeurIPS 2019 Model Selection via the VC Dimension JMLR 2019 Nasal Consonant Discrimination in Infant- and Adult-Directed Speech Interspeech 2019 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NeurIPS 2019 On Testing for Biases in Peer Review NeurIPS 2019 PAC-Bayes under potentially heavy tails NeurIPS 2019 Partitioning Structure Learning for Segmented Linear Regression Trees NeurIPS 2019