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density estimation

397 papers

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Also known as

KL

Co-occurring keywords

normalizing flow (354) generative model (2889) crowd counting (101) variational inference (2069) unsupervised learning (3255) anomaly detection (740) autoregressive model (453) bayesian inference (1904) neural network (6616) variational autoencoder (1282)

Papers

Rates of convergence for the cluster tree NIPS 2010
Submanifold density estimation NIPS 2009
Near-minimax recursive density estimation on the binary hypercube NIPS 2008
The Gaussian Process Density Sampler NIPS 2008
Performance analysis for L\_2 kernel classification NIPS 2008
Density Estimation under Independent Similarly Distributed Sampling Assumptions NIPS 2007
Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling JMLR 2007
Learning with Tree-Averaged Densities and Distributions NIPS 2007
Classification via Minimum Incremental Coding Length (MICL) NIPS 2007
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
Lower Bounds and Aggregation in Density Estimation JMLR 2006
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006
Learning from Multiple Sources NIPS 2006
Simplifying Mixture Models through Function Approximation NIPS 2006
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NIPS 2006
Learning Minimum Volume Sets JMLR 2006
Mixture Regression for Covariate Shift NIPS 2006
Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005
A Maximum Likelihood Approach to Single-channel Source Separation JMLR 2003
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components JMLR 2002
Learning with Mixtures of Trees JMLR 2000