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Learning Theory

5,334 papers

Papers per year

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Papers

Narrowing the Gap: Random Forests In Theory and In Practice ICML 2014
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem ICML 2014
Concentration in unbounded metric spaces and algorithmic stability ICML 2014
A Unified Framework for Consistency of Regularized Loss Minimizers ICML 2014
On the convergence of no-regret learning in selfish routing ICML 2014
Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014
PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014
An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014
Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm ICML 2014
Reducing Dueling Bandits to Cardinal Bandits ICML 2014
Hard-Margin Active Linear Regression ICML 2014
Maximum Margin Multiclass Nearest Neighbors ICML 2014
Ensemble Methods for Structured Prediction ICML 2014
Deep Boosting ICML 2014
One Practical Algorithm for Both Stochastic and Adversarial Bandits ICML 2014
Skip Context Tree Switching ICML 2014
Pursuit-Evasion Without Regret, with an Application to Trading ICML 2014
Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm ICML 2014
Learnability of the Superset Label Learning Problem ICML 2014
Multi-period Trading Prediction Markets with Connections to Machine Learning ICML 2014
Off-policy Learning With Eligibility Traces: A Survey JMLR 2014
Active Learning Using Smooth Relative Regret Approximations with Applications JMLR 2014
Follow the Leader If You Can, Hedge If You Must JMLR 2014
Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses JMLR 2014