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Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

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Papers (including subtopics)

K-means recovers ICA filters when independent components are sparse ICML 2014
Learning Mixtures of Linear Classifiers ICML 2014
The Falling Factorial Basis and Its Statistical Applications ICML 2014
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014
A Unifying View of Representer Theorems ICML 2014
Online Clustering of Bandits ICML 2014
Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014
Multivariate Maximal Correlation Analysis ICML 2014
Efficient Label Propagation ICML 2014
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm ICML 2014
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014
Putting MRFs on a Tensor Train ICML 2014
Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014
Composite Quantization for Approximate Nearest Neighbor Search ICML 2014
Local Ordinal Embedding ICML 2014
Reducing Dueling Bandits to Cardinal Bandits ICML 2014
Joint Inference of Multiple Label Types in Large Networks ICML 2014
Hard-Margin Active Linear Regression ICML 2014
Maximum Margin Multiclass Nearest Neighbors ICML 2014
Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications ICML 2014
Sparse meta-Gaussian information bottleneck ICML 2014
Nonparametric Estimation of Renyi Divergence and Friends ICML 2014
Robust Inverse Covariance Estimation under Noisy Measurements ICML 2014
Bayesian Optimization with Inequality Constraints ICML 2014
Circulant Binary Embedding ICML 2014