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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)

Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation AISTATS 2012
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012
A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012
Adaptive MCMC with Bayesian Optimization AISTATS 2012
Movement Segmentation and Recognition for Imitation Learning AISTATS 2012
Globally Optimizing Graph Partitioning Problems Using Message Passing AISTATS 2012
Max-Margin Min-Entropy Models AISTATS 2012
Lifted Linear Programming AISTATS 2012
Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012
The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012
Beyond Logarithmic Bounds in Online Learning AISTATS 2012
Bayesian Quadrature for Ratios AISTATS 2012
Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis AISTATS 2012
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012
Part & Clamp: Efficient Structured Output Learning AISTATS 2012
Learning Low-order Models for Enforcing High-order Statistics AISTATS 2012
Fast interior-point inference in high-dimensional sparse, penalized state-space models AISTATS 2012
Informative Priors for Markov Blanket Discovery AISTATS 2012
Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012
Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012