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Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

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Papers (including subtopics)

Local Anomaly Detection AISTATS 2012
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012
Sparsistency of the Edge Lasso over Graphs AISTATS 2012
Complexity of Bethe Approximation AISTATS 2012
Multi-armed Bandit Problems with History AISTATS 2012
Low rank continuous-space graphical models AISTATS 2012
On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012
Consistency and Rates for Clustering with DBSCAN AISTATS 2012
Learning Fourier Sparse Set Functions AISTATS 2012
Constrained 1-Spectral Clustering AISTATS 2012
Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012
On Estimation and Selection for Topic Models AISTATS 2012
Multiresolution Deep Belief Networks AISTATS 2012
Structured Output Learning with High Order Loss Functions AISTATS 2012
Randomized Optimum Models for Structured Prediction AISTATS 2012
Fast Variational Mode-Seeking AISTATS 2012
Bayesian Group Factor Analysis AISTATS 2012
Minimax Rates of Estimation for Sparse PCA in High Dimensions AISTATS 2012
A Hybrid Neural Network-Latent Topic Model AISTATS 2012
Nonlinear low-dimensional regression using auxiliary coordinates AISTATS 2012
Generalized Optimal Reverse Prediction AISTATS 2012
Primal-Dual methods for sparse constrained matrix completion AISTATS 2012