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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)

Multi-Task Learning for Subspace Segmentation ICML 2015
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap ICML 2015
Scalable Model Selection for Large-Scale Factorial Relational Models ICML 2015
The Power of Randomization: Distributed Submodular Maximization on Massive Datasets ICML 2015
Dealing with small data: On the generalization of context trees ICML 2015
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015
A Bayesian nonparametric procedure for comparing algorithms ICML 2015
Convergence rate of Bayesian tensor estimator and its minimax optimality ICML 2015
On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments ICML 2015
Nested Sequential Monte Carlo Methods ICML 2015
Sparse Variational Inference for Generalized GP Models ICML 2015
Universal Value Function Approximators ICML 2015
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015
On Greedy Maximization of Entropy ICML 2015
Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM ICML 2015
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015
The Composition Theorem for Differential Privacy ICML 2015
Convex Formulation for Learning from Positive and Unlabeled Data ICML 2015
Strongly Adaptive Online Learning ICML 2015
A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data ICML 2015
Risk and Regret of Hierarchical Bayesian Learners ICML 2015
Towards a Learning Theory of Cause-Effect Inference ICML 2015
Multiview Triplet Embedding: Learning Attributes in Multiple Maps ICML 2015
Distributed Gaussian Processes ICML 2015
\ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015