Statistical Learning

Optimal and Adaptive Off-policy Evaluation in Contextual Bandits ICML 2017 Optimal learning via local entropies and sample compression COLT 2017 Optimal Sample Complexity of M-wise Data for Top-K Ranking NeurIPS 2017 Passive Realtime Datacenter Fault Detection and Localization NSDI 2017 Personalized Quantification of Voice Attractiveness in Multidimensional Merit Space Interspeech 2017 Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation AISTATS 2017 Population Matching Discrepancy and Applications in Deep Learning NeurIPS 2017 Predicting with Distributions COLT 2017 Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees ICML 2017 Rates of estimation for determinantal point processes COLT 2017 Rational Distortions of Learners’ Linguistic Input CoNLL 2017 Recycling Privileged Learning and Distribution Matching for Fairness NeurIPS 2017 Regional Concept Drift Detection and Density Synchronized Drift Adaptation IJCAI 2017 Regularization and the small-ball method II: complexity dependent error rates JMLR 2017 Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models JMLR 2017 Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging EMNLP 2017 Robust and Proper Learning for Mixtures of Gaussians via Systems of Polynomial Inequalities COLT 2017 Robust Conditional Probabilities NeurIPS 2017 Robust Estimation of Neural Signals in Calcium Imaging NeurIPS 2017 Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017 Robust Joint and Individual Variance Explained CVPR 2017 Robust Structured Estimation with Single-Index Models ICML 2017 Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions NeurIPS 2017 Sample complexity of population recovery COLT 2017 Score Aggregation via Spectral Method IJCAI 2017