Statistical Learning

De-biasing Covariance-Regularized Discriminant Analysis IJCAI 2018 Deepview: Virtual Disk Failure Diagnosis and Pattern Detection for Azure NSDI 2018 Demystifying MMD GANs ICLR 2018 Detecting and Correcting for Label Shift with Black Box Predictors ICML 2018 Detection limits in the high-dimensional spiked rectangular model COLT 2018 Differentially Private Change-Point Detection NeurIPS 2018 Differentially Private Testing of Identity and Closeness of Discrete Distributions NeurIPS 2018 Distributed Nonparametric Regression under Communication Constraints ICML 2018 Dropout Training, Data-dependent Regularization, and Generalization Bounds ICML 2018 Early Stopping for Nonparametric Testing NeurIPS 2018 Efficient Online Scalar Annotation with Bounded Support ACL 2018 Emergence of Invariance and Disentanglement in Deep Representations JMLR 2018 Empirical Risk Landscape Analysis for Understanding Deep Neural Networks ICLR 2018 Entropy Rate Estimation for Markov Chains with Large State Space NeurIPS 2018 Error Modeling via Asymmetric Laplace Distribution for Deep Neural Network Based Single-Channel Speech Enhancement Interspeech 2018 Estimating Learnability in the Sublinear Data Regime NeurIPS 2018 Estimation of Markov Chain via Rank-Constrained Likelihood ICML 2018 Estimation with Incomplete Data: The Linear Case IJCAI 2018 Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data COLT 2018 Exploring the Influence of Spelling Errors on Lexical Variation Measures COLING 2018 Extrapolating Expected Accuracies for Large Multi-Class Problems JMLR 2018 Fast generalization error bound of deep learning from a kernel perspective AISTATS 2018 Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NeurIPS 2018 Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018 Generalization Bounds for Regularized Pairwise Learning IJCAI 2018