conftrace_

nonparametric estimation

98 papers

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Co-occurring keywords

density estimation (398) convergence rate (607) mutual information (724) minimax rate (87) kernel methods (1097) kernel density estimation (80) reproducing kernel hilbert space (334) nonparametric statistics (31) hidden markov model (302) causal inference (1630)

Papers

Nonparametric variable importance using an augmented neural network with multi-task learning ICML 2018
Nonparametric Density Estimation under Adversarial Losses NIPS 2018
Uncovering Causality from Multivariate Hawkes Integrated Cumulants JMLR 2018
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal NIPS 2018
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden {M}arkov Models JMLR 2018
Topological mixture estimation ICML 2018
Adversarial Time-to-Event Modeling ICML 2018
Derivative Estimation in Random Design NIPS 2018
Bayesian Model Selection for Change Point Detection and Clustering ICML 2018
Online Learning for Multivariate Hawkes Processes NIPS 2017
Nonparametrically Trained Probabilistic Linear Discriminant Analysis for i-Vector Speaker Verification INTERSPEECH 2017
Computational Limits of A Distributed Algorithm for Smoothing Spline JMLR 2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NIPS 2017
Uncovering Causality from Multivariate Hawkes Integrated Cumulants ICML 2017
Density Estimation in Infinite Dimensional Exponential Families JMLR 2017
Nonparanormal Information Estimation ICML 2017
Poisson intensity estimation with reproducing kernels AISTATS 2017
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators NIPS 2016
Efficient Nonparametric Smoothness Estimation NIPS 2016
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices NIPS 2016
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations NIPS 2015
Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NIPS 2014
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence AISTATS 2014