Statistical Learning

Principal Component Analysis in the Local Differential Privacy Model IJCAI 2019 Private Hypothesis Selection NeurIPS 2019 Prosodic Characteristics of Mandarin Declarative and Interrogative Utterances in Parkinson’s Disease Interspeech 2019 Quantification Under Prior Probability Shift: the Ratio Estimator and its Extensions JMLR 2019 Rates of Convergence for Large-scale Nearest Neighbor Classification NeurIPS 2019 Reducing training time by efficient localized kernel regression AISTATS 2019 Regularization via Mass Transportation JMLR 2019 Regularized Gradient Boosting NeurIPS 2019 Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach AAAI 2019 Robust Estimation of Tree Structured Gaussian Graphical Models ICML 2019 Robust Learning from Untrusted Sources ICML 2019 Robust Matrix Completion from Quantized Observations AISTATS 2019 Robustness Guarantees for Density Clustering AISTATS 2019 Robustness to Adversarial Perturbations in Learning from Incomplete Data NeurIPS 2019 Sample complexity of partition identification using multi-armed bandits COLT 2019 Sample Complexity of Sinkhorn Divergences AISTATS 2019 Sample-Optimal Parametric Q-Learning Using Linearly Additive Features ICML 2019 Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees AISTATS 2019 Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection CVPR 2019 Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows AISTATS 2019 Shared Subspace Models for Multi-Group Covariance Estimation JMLR 2019 Sharp Analysis of Learning with Discrete Losses AISTATS 2019 Sharp Theoretical Analysis for Nonparametric Testing under Random Projection COLT 2019 Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines NAACL 2019 Show Your Work: Improved Reporting of Experimental Results EMNLP 2019