Statistical Learning

Expectation and Locality Effects in the Prediction of Disfluent Fillers and Repairs in English Speech NAACL 2019 Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators ALT 2019 Faster Algorithms for High-Dimensional Robust Covariance Estimation COLT 2019 Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NeurIPS 2019 Finding Statistically Significant Interactions between Continuous Features IJCAI 2019 First order expansion of convex regularized estimators NeurIPS 2019 Fisher Efficient Inference of Intractable Models NeurIPS 2019 Fluctuation-dissipation relations for stochastic gradient descent ICLR 2019 Forming Probably Stable Communities with Limited Interactions AAAI 2019 Functional Isolation Forest ACML 2019 Gaussian Regression with Convex Constraints AISTATS 2019 Generalization Bounds in the Predict-then-Optimize Framework NeurIPS 2019 Generalization Error Analysis of Quantized Compressive Learning NeurIPS 2019 Generalized Approximate Survey Propagation for High-Dimensional Estimation ICML 2019 Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension ACML 2019 Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression COLT 2019 Gradient Descent for One-Hidden-Layer Neural Networks: Polynomial Convergence and SQ Lower Bounds COLT 2019 Graph-based Discriminators: Sample Complexity and Expressiveness NeurIPS 2019 Graph-Based Semi-Supervised Learning with Non-ignorable Non-response NeurIPS 2019 Graph Structured Prediction Energy Networks NeurIPS 2019 Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019 HDI-Forest: Highest Density Interval Regression Forest IJCAI 2019 High Dimensional Inference in Partially Linear Models AISTATS 2019 High-dimensional Varying Index Coefficient Models via Stein's Identity JMLR 2019 High probability generalization bounds for uniformly stable algorithms with nearly optimal rate COLT 2019