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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)

Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011
Contextual Bandits with Similarity Information COLT 2011
Adaptive Density Level Set Clustering COLT 2011
Agnostic KWIK learning and efficient approximate reinforcement learning COLT 2011
The Sample Complexity of Dictionary Learning COLT 2011
Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011
Bounds on Individual Risk for Log-loss Predictors COLT 2011
A simple multi-armed bandit algorithm with optimal variation-bounded regret COLT 2011
Minimax Algorithm for Learning Rotations COLT 2011
Missing Information Impediments to Learnability COLT 2011
Monotone multi-armed bandit allocations COLT 2011
Improving Bilingual Projections via Sparse Covariance Matrices EMNLP 2011
A Cross-lingual Annotation Projection-based Self-supervision Approach for Open Information Extraction IJCNLP 2011
Improved Moves for Truncated Convex Models JMLR 2011
CARP: Software for Fishing Out Good Clustering Algorithms JMLR 2011
Multitask Sparsity via Maximum Entropy Discrimination JMLR 2011
Bayesian Generalized Kernel Mixed Models JMLR 2011
Training SVMs Without Offset JMLR 2011
Logistic Stick-Breaking Process JMLR 2011
Online Learning in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm JMLR 2011
A Bayesian Approximation Method for Online Ranking JMLR 2011
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs JMLR 2011
Models of Cooperative Teaching and Learning JMLR 2011
Operator Norm Convergence of Spectral Clustering on Level Sets JMLR 2011
Approximate Marginals in Latent Gaussian Models JMLR 2011