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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)

Entangled Monte Carlo NIPS 2012
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NIPS 2012
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning NIPS 2012
Online L1-Dictionary Learning with Application to Novel Document Detection NIPS 2012
Learning curves for multi-task Gaussian process regression NIPS 2012
Transelliptical Component Analysis NIPS 2012
Learning the Dependency Structure of Latent Factors NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Bayesian Pedigree Analysis using Measure Factorization NIPS 2012
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
A quasi-Newton proximal splitting method NIPS 2012
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NIPS 2012
Multilabel Classification using Bayesian Compressed Sensing NIPS 2012
Online Sum-Product Computation Over Trees NIPS 2012
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NIPS 2012
Calibrated Elastic Regularization in Matrix Completion NIPS 2012
Expectation Propagation in Gaussian Process Dynamical Systems NIPS 2012
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NIPS 2012
Query Complexity of Derivative-Free Optimization NIPS 2012
Communication-Efficient Algorithms for Statistical Optimization NIPS 2012
Selecting Diverse Features via Spectral Regularization NIPS 2012
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NIPS 2012
Natural Images, Gaussian Mixtures and Dead Leaves NIPS 2012
Memorability of Image Regions NIPS 2012
Projection Retrieval for Classification NIPS 2012