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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)

Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012
Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012
Domain Adaptation: A Small Sample Statistical Approach AISTATS 2012
Local Anomaly Detection AISTATS 2012
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks 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
Using More Data to Speed-up Training Time 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
Testing for Membership to the IFRA and the NBU Classes of Distributions AISTATS 2012
Flexible Martingale Priors for Deep Hierarchies AISTATS 2012
Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach AISTATS 2012
Learning Fourier Sparse Set Functions AISTATS 2012
Efficient and Exact MAP-MRF Inference using Branch and Bound 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
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012