Learning Theory

New Results for Random Walk Learning JMLR 2014 Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014 Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014 Off-policy Learning With Eligibility Traces: A Survey JMLR 2014 On Communication Cost of Distributed Statistical Estimation and Dimensionality NeurIPS 2014 One Practical Algorithm for Both Stochastic and Adversarial Bandits ICML 2014 Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NeurIPS 2014 Online Decision-Making in General Combinatorial Spaces NeurIPS 2014 Online Learning with Composite Loss Functions COLT 2014 Online Non-Parametric Regression COLT 2014 On the Bayes-Optimality of F-Measure Maximizers JMLR 2014 On the Computational Efficiency of Training Neural Networks NeurIPS 2014 On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems COLT 2014 On the convergence of no-regret learning in selfish routing ICML 2014 On the Convergence Rate of Decomposable Submodular Function Minimization NeurIPS 2014 On the Information Theoretic Limits of Learning Ising Models NeurIPS 2014 On the Number of Linear Regions of Deep Neural Networks NeurIPS 2014 On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures NeurIPS 2014 Open Problem: Efficient Online Sparse Regression COLT 2014 Open Problem: Online Local Learning COLT 2014 Open Problem: The Statistical Query Complexity of Learning Sparse Halfspaces COLT 2014 Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014 Optimal learners for multiclass problems COLT 2014 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014 Optimal Teaching for Limited-Capacity Human Learners NeurIPS 2014