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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)

Consistent estimation of dynamic and multi-layer block models ICML 2015
On the Rate of Convergence and Error Bounds for LSTD(λ) ICML 2015
Variational Inference with Normalizing Flows ICML 2015
Convex Learning of Multiple Tasks and their Structure ICML 2015
K-hyperplane Hinge-Minimax Classifier ICML 2015
Non-Stationary Approximate Modified Policy Iteration ICML 2015
Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees ICML 2015
Geometric Conditions for Subspace-Sparse Recovery ICML 2015
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process ICML 2015
Weight Uncertainty in Neural Network ICML 2015
Learning Submodular Losses with the Lovasz Hinge ICML 2015
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection ICML 2015
Hashing for Distributed Data ICML 2015
Large-scale Distributed Dependent Nonparametric Trees ICML 2015
Qualitative Multi-Armed Bandits: A Quantile-Based Approach ICML 2015
Deep Edge-Aware Filters ICML 2015
A Convex Optimization Framework for Bi-Clustering ICML 2015
Is Feature Selection Secure against Training Data Poisoning? ICML 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015
A Theoretical Analysis of Metric Hypothesis Transfer Learning ICML 2015
Generative Moment Matching Networks ICML 2015
Stay on path: PCA along graph paths ICML 2015
Deep Learning with Limited Numerical Precision ICML 2015
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices ICML 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015