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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Papers (including subtopics)

A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning JMLR 2016
Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests JMLR 2016
Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices JMLR 2016
Non-linear Causal Inference using Gaussianity Measures JMLR 2016
Consistent Distribution-Free $K$-Sample and Independence Tests for Univariate Random Variables JMLR 2016
A Gibbs Sampler for Learning DAGs JMLR 2016
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning JMLR 2016
Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks JMLR 2016
Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016
MLlib: Machine Learning in Apache Spark JMLR 2016
A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks JMLR 2016
The Optimal Sample Complexity of PAC Learning JMLR 2016
End-to-End Training of Deep Visuomotor Policies JMLR 2016
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016
Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes JMLR 2016
On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016
Scalable Learning of Bayesian Network Classifiers JMLR 2016
A Unified View on Multi-class Support Vector Classification JMLR 2016
Large Scale Online Kernel Learning JMLR 2016
Kernel Mean Shrinkage Estimators JMLR 2016
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions JMLR 2016
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms JMLR 2016
Differentially Private Data Releasing for Smooth Queries JMLR 2016
Subspace Learning with Partial Information JMLR 2016