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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)

An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011
Deep Learning for Efficient Discriminative Parsing AISTATS 2011
A Spike and Slab Restricted Boltzmann Machine AISTATS 2011
Optimal and Robust Price Experimentation: Learning by Lottery AISTATS 2011
Bagged Structure Learning of Bayesian Network AISTATS 2011
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities AISTATS 2011
A novel greedy algorithm for Nyström approximation AISTATS 2011
Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks AISTATS 2011
Learning from positive and unlabeled examples by enforcing statistical significance AISTATS 2011
Deep Sparse Rectifier Neural Networks AISTATS 2011
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011
Multiscale Community Blockmodel for Network Exploration AISTATS 2011
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources AISTATS 2011
Fast $b$-matching via Sufficient Selection Belief Propagation AISTATS 2011
Improved Loss Bounds For Multiple Kernel Learning AISTATS 2011
On Learning Discrete Graphical Models using Group-Sparse Regularization AISTATS 2011
Convergent Decomposition Solvers for Tree-reweighted Free Energies AISTATS 2011
Convex envelopes of complexity controlling penalties: the case against premature envelopment AISTATS 2011
On Time Varying Undirected Graphs AISTATS 2011
Approximate inference for the loss-calibrated Bayesian AISTATS 2011
Robust Bayesian Matrix Factorisation AISTATS 2011
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection AISTATS 2011
Bayesian Hierarchical Cross-Clustering AISTATS 2011