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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)

Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation AISTATS 2015
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields AISTATS 2015
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence AISTATS 2015
State Space Methods for Efficient Inference in Student-t Process Regression AISTATS 2015
Data modeling with the elliptical gamma distribution AISTATS 2015
A Dirichlet Process Mixture Model for Spherical Data AISTATS 2015
Inferring Block Structure of Graphical Models in Exponential Families AISTATS 2015
Two-stage sampled learning theory on distributions AISTATS 2015
Predicting Preference Reversals via Gaussian Process Uncertainty Aversion AISTATS 2015
Streaming Variational Inference for Bayesian Nonparametric Mixture Models AISTATS 2015
Learning of Non-Parametric Control Policies with High-Dimensional State Features AISTATS 2015
Maximally Informative Hierarchical Representations of High-Dimensional Data AISTATS 2015
Falling Rule Lists AISTATS 2015
Multi-Manifold Modeling in Non-Euclidean spaces AISTATS 2015
Trend Filtering on Graphs AISTATS 2015
A Greedy Homotopy Method for Regression with Nonconvex Constraints AISTATS 2015
Understanding and Evaluating Sparse Linear Discriminant Analysis AISTATS 2015
Stochastic Block Transition Models for Dynamic Networks AISTATS 2015
Majorization-Minimization for Manifold Embedding AISTATS 2015
A la Carte – Learning Fast Kernels AISTATS 2015
A Simple Homotopy Algorithm for Compressive Sensing AISTATS 2015
Scalable Nonparametric Multiway Data Analysis AISTATS 2015
Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction AISTATS 2015
Power-Law Graph Cuts AISTATS 2015
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models AISTATS 2015