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684 directly classified papers

Papers per year

Papers

Testing for Families of Distributions via the Fourier Transform NIPS 2018
Relating Leverage Scores and Density using Regularized Christoffel Functions NIPS 2018
Algebraic tests of general Gaussian latent tree models NIPS 2018
Estimators for Multivariate Information Measures in General Probability Spaces NIPS 2018
On Learning Markov Chains NIPS 2018
Derivative Estimation in Random Design NIPS 2018
Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling NIPS 2018
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal NIPS 2018
A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions ICML 2017
Model-Powered Conditional Independence Test NIPS 2017
Estimation of the covariance structure of heavy-tailed distributions NIPS 2017
A Universal Analysis of Large-Scale Regularized Least Squares Solutions NIPS 2017
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NIPS 2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NIPS 2017
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models NIPS 2017
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NIPS 2017
Online control of the false discovery rate with decaying memory NIPS 2017
High-Dimensional Structured Quantile Regression ICML 2017
Nonparanormal Information Estimation ICML 2017
Uniform Convergence Rates for Kernel Density Estimation ICML 2017
Efficient Benchmarking of NLP APIs using Multi-armed Bandits EACL 2017
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation ICML 2017
Identifying a Minimal Class of Models for High--dimensional Data JMLR 2017
Tests of Mutual or Serial Independence of Random Vectors with Applications JMLR 2017
Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis JMLR 2017