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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

5
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Papers (including subtopics)

Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Multiple Operator-valued Kernel Learning NIPS 2012
No-Regret Algorithms for Unconstrained Online Convex Optimization NIPS 2012
Learning Partially Observable Models Using Temporally Abstract Decision Trees NIPS 2012
Emergence of Object-Selective Features in Unsupervised Feature Learning NIPS 2012
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NIPS 2012
Learning optimal spike-based representations NIPS 2012
Collaborative Ranking With 17 Parameters NIPS 2012
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NIPS 2012
Deep Representations and Codes for Image Auto-Annotation NIPS 2012
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task NIPS 2012
Meta-Gaussian Information Bottleneck NIPS 2012
Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NIPS 2012
Fusion with Diffusion for Robust Visual Tracking NIPS 2012
Transferring Expectations in Model-based Reinforcement Learning NIPS 2012
Modelling Reciprocating Relationships with Hawkes Processes NIPS 2012
Ancestor Sampling for Particle Gibbs NIPS 2012
Interpreting prediction markets: a stochastic approach NIPS 2012
Nonparanormal Belief Propagation (NPNBP) NIPS 2012
Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NIPS 2012
Bayesian Nonparametric Modeling of Suicide Attempts NIPS 2012
Non-linear Metric Learning NIPS 2012
Putting Bayes to sleep NIPS 2012
Sparse Approximate Manifolds for Differential Geometric MCMC NIPS 2012