Statistical Learning

Simultaneous Prediction Intervals for Patient-Specific Survival Curves IJCAI 2019 Sketched Iterative Algorithms for Structured Generalized Linear Models IJCAI 2019 Sorted Top-k in Rounds COLT 2019 Sparse Extreme Multi-label Learning with Oracle Property ICML 2019 Sparse High-Dimensional Isotonic Regression NeurIPS 2019 Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models NeurIPS 2019 Spatio-Temporal Prediction of Dialectal Variant Usage ACL 2019 Spectral Metric for Dataset Complexity Assessment CVPR 2019 SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019 State Abstraction as Compression in Apprenticeship Learning AAAI 2019 Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection NeurIPS 2019 Statistical-Computational Tradeoff in Single Index Models NeurIPS 2019 Statistical Foundations of Virtual Democracy ICML 2019 Statistical Learning under Nonstationary Mixing Processes AISTATS 2019 Statistical Learning with a Nuisance Component COLT 2019 Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain AISTATS 2019 Stochastic Constraint Propagation for Mining Probabilistic Networks IJCAI 2019 Subsampled Renyi Differential Privacy and Analytical Moments Accountant AISTATS 2019 Surveys without Questions: A Reinforcement Learning Approach AAAI 2019 Testing Mixtures of Discrete Distributions COLT 2019 Testing Symmetric Markov Chains Without Hitting COLT 2019 Test without Trust: Optimal Locally Private Distribution Testing AISTATS 2019 The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects ICML 2019 The Broad Optimality of Profile Maximum Likelihood NeurIPS 2019 The Impact of Regularization on High-dimensional Logistic Regression NeurIPS 2019