conftrace_

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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15958
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Papers (including subtopics)

Robust sketching for multiple square-root LASSO problems AISTATS 2015
Deep Exponential Families AISTATS 2015
On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives AISTATS 2015
A Scalable Algorithm for Structured Kernel Feature Selection AISTATS 2015
Learning Efficient Anomaly Detectors from K-NN Graphs AISTATS 2015
Gamma Processes, Stick-Breaking, and Variational Inference AISTATS 2015
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation AISTATS 2015
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields AISTATS 2015
Sensor Selection for Crowdsensing Dynamical Systems AISTATS 2015
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence AISTATS 2015
Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAM AISTATS 2015
State Space Methods for Efficient Inference in Student-t Process Regression AISTATS 2015
Learning from Data with Heterogeneous Noise using SGD AISTATS 2015
Data modeling with the elliptical gamma distribution AISTATS 2015
WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015
Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields AISTATS 2015
A Dirichlet Process Mixture Model for Spherical Data AISTATS 2015
Inferring Block Structure of Graphical Models in Exponential Families AISTATS 2015
Two-stage sampled learning theory on distributions AISTATS 2015
Predicting Preference Reversals via Gaussian Process Uncertainty Aversion AISTATS 2015
Streaming Variational Inference for Bayesian Nonparametric Mixture Models AISTATS 2015
Particle Gibbs with Ancestor Sampling for Probabilistic Programs AISTATS 2015
Learning of Non-Parametric Control Policies with High-Dimensional State Features AISTATS 2015
Maximally Informative Hierarchical Representations of High-Dimensional Data AISTATS 2015
Falling Rule Lists AISTATS 2015