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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)

Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem COLT 2014
Open Problem: The Statistical Query Complexity of Learning Sparse Halfspaces COLT 2014
Open Problem: Online Local Learning COLT 2014
Open Problem: Shifting Experts on Easy Data COLT 2014
Open Problem: Efficient Online Sparse Regression COLT 2014
Distribution-independent Reliable Learning COLT 2014
Learning without concentration COLT 2014
Uniqueness of Ordinal Embedding COLT 2014
Bayes-Optimal Scorers for Bipartite Ranking COLT 2014
Multiarmed Bandits With Limited Expert Advice COLT 2014
Learning Sparsely Used Overcomplete Dictionaries COLT 2014
Community Detection via Random and Adaptive Sampling COLT 2014
A second-order bound with excess losses COLT 2014
Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014
Higher-Order Regret Bounds with Switching Costs COLT 2014
The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014
Optimal learners for multiclass problems COLT 2014
Stochastic Regret Minimization via Thompson Sampling COLT 2014
Approachability in unknown games: Online learning meets multi-objective optimization COLT 2014
Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014
Sample Compression for Multi-label Concept Classes COLT 2014
Finding a most biased coin with fewest flips COLT 2014
Volumetric Spanners: an Efficient Exploration Basis for Learning COLT 2014
lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning COLT 2014