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1219 directly classified papers

Papers per year

Papers

Multiplicative local linear hazard estimation and best one-sided cross-validation JMLR 2019
Determining the Number of Latent Factors in Statistical Multi-Relational Learning JMLR 2019
Generalized Score Matching for Non-Negative Data JMLR 2019
High-dimensional Varying Index Coefficient Models via Stein's Identity JMLR 2019
DBSCAN: Optimal Rates For Density-Based Cluster Estimation JMLR 2019
Shared Subspace Models for Multi-Group Covariance Estimation JMLR 2019
Speaking Rate, Information Density, and Information Rate in First-Language and Second-Language Speech INTERSPEECH 2019
Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019
Random Matrix Improved Covariance Estimation for a Large Class of Metrics ICML 2019
MFPCA: Multiscale Functional Principal Component Analysis AAAI 2019
Random Walk Decay Centrality AAAI 2019
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019
Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams JMLR 2019
A Powerful Global Test Statistic for Functional Statistical Inference AAAI 2019
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling AAAI 2019
Private Testing of Distributions via Sample Permutations NIPS 2019
Space and Time Efficient Kernel Density Estimation in High Dimensions NIPS 2019
Cross-sectional Learning of Extremal Dependence among Financial Assets NIPS 2019
Estimating Convergence of Markov chains with L-Lag Couplings NIPS 2019
Learning low-dimensional state embeddings and metastable clusters from time series data NIPS 2019
Differentially Private Anonymized Histograms NIPS 2019
A General Framework for Symmetric Property Estimation NIPS 2019
The Broad Optimality of Profile Maximum Likelihood NIPS 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NIPS 2019
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NIPS 2019