ALT 2014 Accepted Papers
Parallel Learning of Automatic Classes of Languages
A safe approximation for Kolmogorov complexity
A Map of Update Constraints in Inductive Inference
On Exact Learning Monotone DNF from Membership
On the Role of Update Constraints and Text-Types in Iterative Learning
A chain rule for the expected suprema of Gaussian processes
Learning Boolean Halfspaces with Small Weights from Membership Queries
Policy Gradients for CVaR-Constrained MDPs
Robust and private Bayesian inference
Offline to Online Conversion
Generalization bounds for time series prediction with non-stationary processes
Bandit Online Optimization Over the Permutahedron
Selecting Near-Optimal Approximate State Representations in Reinforcement Learning
Clustering, Hamming Embedding, Generalized LSH and the Max Norm
Bayesian Reinforcement Learning with Exploration
Extreme State Aggregation beyond MDPs
Indefinitely Oscillating Martingales
Learning Regular Omega Languages
Algorithmic identification of probabilities is hard
Generalizing Labeled and Unlabeled Sample Compression to Multi-label Concept Classes
On Learning the Optimal Waiting Time
