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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)

FuSSO: Functional Shrinkage and Selection Operator AISTATS 2014
To go deep or wide in learning? AISTATS 2014
An Efficient Algorithm for Large Scale Compressive Feature Learning AISTATS 2014
Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014
A Stepwise uncertainty reduction approach to constrained global optimization AISTATS 2014
Cluster Canonical Correlation Analysis AISTATS 2014
Learning Structured Models with the AUC Loss and Its Generalizations AISTATS 2014
Class Proportion Estimation with Application to Multiclass Anomaly Rejection AISTATS 2014
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations AISTATS 2014
Explicit Link Between Periodic Covariance Functions and State Space Models AISTATS 2014
Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel AISTATS 2014
SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication AISTATS 2014
Adaptive Variable Clustering in Gaussian Graphical Models AISTATS 2014
Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch AISTATS 2014
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014
Linear-time training of nonlinear low-dimensional embeddings AISTATS 2014
Gaussian Copula Precision Estimation with Missing Values AISTATS 2014
Mixed Graphical Models via Exponential Families AISTATS 2014
Context Aware Group Nearest Shrunken Centroids in Large-Scale Genomic Studies AISTATS 2014
Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers COLT 2014
Open Problem: The Statistical Query Complexity of Learning Sparse Halfspaces COLT 2014
Open Problem: Online Local Learning COLT 2014
Open Problem: Efficient Online Sparse Regression COLT 2014
Distribution-independent Reliable Learning COLT 2014
Uniqueness of Ordinal Embedding COLT 2014