Statistical Learning

Detection of Planted Solutions for Flat Satisfiability Problems AISTATS 2019 Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience ICLR 2019 Differentially Private Anonymized Histograms NeurIPS 2019 Direct Estimation of Differential Functional Graphical Models NeurIPS 2019 Discovering Conditionally Salient Features with Statistical Guarantees ICML 2019 Distributed Inference for Linear Support Vector Machine JMLR 2019 Distributed Representation of Words in Cause and Effect Spaces AAAI 2019 Distributionally Robust Language Modeling EMNLP 2019 Distributionally Robust Optimization and Generalization in Kernel Methods NeurIPS 2019 Distribution-Dependent Analysis of Gibbs-ERM Principle COLT 2019 Does data interpolation contradict statistical optimality? AISTATS 2019 Doubly-Competitive Distribution Estimation ICML 2019 Dropout as a Structured Shrinkage Prior ICML 2019 DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NeurIPS 2019 Efficient Counterfactual Learning from Bandit Feedback AAAI 2019 Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NeurIPS 2019 Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NeurIPS 2019 Ensemble-based Ultrahigh-dimensional Variable Screening IJCAI 2019 Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs ICML 2019 ERP Signal Analysis with Temporal Resolution Using a Time Window Bank Interspeech 2019 Error bounds for sparse classifiers in high-dimensions AISTATS 2019 Estimating Network Structure from Incomplete Event Data AISTATS 2019 Estimation of smooth densities in Wasserstein distance COLT 2019 Evaluating model calibration in classification AISTATS 2019 Evaluating Research Novelty Detection: Counterfactual Approaches EMNLP 2019