Statistics

Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks ACL 2019 Unified Sample-Optimal Property Estimation in Near-Linear Time NeurIPS 2019 ℓ_1-regression with Heavy-tailed Distributions NeurIPS 2018 A Bandit Approach to Sequential Experimental Design with False Discovery Control NeurIPS 2018 Accurate Inference for Adaptive Linear Models ICML 2018 Algebraic tests of general Gaussian latent tree models NeurIPS 2018 An Estimation and Analysis Framework for the Rasch Model ICML 2018 A partial orthogonalization method for simulating covariance and concentration graph matrices PGM 2018 BLEU is Not Suitable for the Evaluation of Text Simplification EMNLP 2018 Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models JMLR 2018 Contextual Stochastic Block Models NeurIPS 2018 Data Amplification: A Unified and Competitive Approach to Property Estimation NeurIPS 2018 Derivative Estimation in Random Design NeurIPS 2018 Differentially Private Identity and Equivalence Testing of Discrete Distributions ICML 2018 Entropy Rate Estimation for Markov Chains with Large State Space NeurIPS 2018 Estimators for Multivariate Information Measures in General Probability Spaces NeurIPS 2018 Extrapolating Expected Accuracies for Large Multi-Class Problems JMLR 2018 INSPECTRE: Privately Estimating the Unseen ICML 2018 Learning convex polytopes with margin NeurIPS 2018 Nonparametric Density Estimation under Adversarial Losses NeurIPS 2018 Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words ACL 2018 On Learning Markov Chains NeurIPS 2018 On Nesting Monte Carlo Estimators ICML 2018 On Tight Bounds for the Lasso JMLR 2018 Plug-in Estimators for Conditional Expectations and Probabilities AISTATS 2018