distribution estimation

A General Framework for Symmetric Property Estimation NeurIPS 2019 Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters ICML 2019 Doubly-Competitive Distribution Estimation ICML 2019 Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019 Linear Queries Estimation with Local Differential Privacy AISTATS 2019 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NeurIPS 2019 The Broad Optimality of Profile Maximum Likelihood NeurIPS 2019 Unified Sample-Optimal Property Estimation in Near-Linear Time NeurIPS 2019 Data Amplification: A Unified and Competitive Approach to Property Estimation NeurIPS 2018 INSPECTRE: Privately Estimating the Unseen ICML 2018 Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance COLT 2018 On Learning Markov Chains NeurIPS 2018 A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions ICML 2017 Dealing with Range Anxiety in Mean Estimation via Statistical Queries ALT 2017 Nonparanormal Information Estimation ICML 2017 The power of absolute discounting: all-dimensional distribution estimation NeurIPS 2017 Discrete Distribution Estimation under Local Privacy ICML 2016 Competitive Distribution Estimation: Why is Good-Turing Good NeurIPS 2015 Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data ICML 2015 MADE: Masked Autoencoder for Distribution Estimation ICML 2015 Decontamination of Mutually Contaminated Models AISTATS 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 Estimating the Unseen: Improved Estimators for Entropy and other Properties NeurIPS 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 The Neural Autoregressive Distribution Estimator AISTATS 2011