ALT 2014 Accepted Papers

Sanjay Jain and Efim Kinber. Parallel Learning of Automatic Classes of Languages
Peter Bloem, Francisco Mota, Steven De Rooij, Luis Antunes and Pieter Adriaans. A safe approximation for Kolmogorov complexity
Timo Kötzing and Raphaela Palenta. A Map of Update Constraints in Inductive Inference
Hasan Abasi, Nader Bshouty and Hanna Mazzawi. On Exact Learning Monotone DNF from Membership
Sanjay Jain, Timo Kötzing, Junqi Ma and Frank Stephan. On the Role of Update Constraints and Text-Types in Iterative Learning
Andreas Maurer. A chain rule for the expected suprema of Gaussian processes
Hasan Abasi, Ali Abdi and Nader Bshouty. Learning Boolean Halfspaces with Small Weights from Membership Queries
Prashanth L.A.. Policy Gradients for CVaR-Constrained MDPs
Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa and Benjamin Rubinstein. Robust and private Bayesian inference
Marcus Hutter. Offline to Online Conversion
Vitaly Kuznetsov and Mehryar Mohri. Generalization bounds for time series prediction with non-stationary processes
Nir Ailon, Kohei Hatano and Eiji Takimoto. Bandit Online Optimization Over the Permutahedron
Ronald Ortner, Odalric-Ambrym Maillard and Daniil Ryabko. Selecting Near-Optimal Approximate State Representations in Reinforcement Learning
Behnam Neyshabur, Yury Makarychev and Nathan Srebro. Clustering, Hamming Embedding, Generalized LSH and the Max Norm
Tor Lattimore and Marcus Hutter. Bayesian Reinforcement Learning with Exploration
Marcus Hutter. Extreme State Aggregation beyond MDPs
Jan Leike and Marcus Hutter. Indefinitely Oscillating Martingales
Dana Angluin and Dana Fisman. Learning Regular Omega Languages
Laurent Bienvenu, Benoît Monin and Alexander Shen. Algorithmic identification of probabilities is hard
Rahim Samei, Boting Yang and Sandra Zilles. Generalizing Labeled and Unlabeled Sample Compression to Multi-label Concept Classes
Tor Lattimore, Andras Gyorgy and Csaba Szepesvári. On Learning the Optimal Waiting Time

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