19. ALT 2008: Budapest, Hungary

Invited Papers

• Imre Csiszár:
  On Iterative Algorithms with an Information Geometry Background. 1
  
• Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler:
  Visual Analytics: Combining Automated Discovery with Interactive Visualizations. 2
  
• László Lovász:
  Some Mathematics behind Graph Property Testing. 3
  
• Heikki Mannila:
  Finding Total and Partial Orders from Data for Seriation. 4
  
• Tom M. Mitchell:
  Computational Models of Neural Representations in the Human Brain. 5-6
  

Statistical Learning

• Shivani Agarwal:
  Generalization Bounds for Some Ordinal Regression Algorithms. 7-21
  
• Stéphan Clémençon, Nicolas Vayatis:
  Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm. 22-37
  
• Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh:
  Sample Selection Bias Correction Theory. 38-53
  
• Mark Herbster:
  Exploiting Cluster-Structure to Predict the Labeling of a Graph. 54-69
  
• Andreas Maurer, Massimiliano Pontil:
  A Uniform Lower Error Bound for Half-Space Learning. 70-78
  
• Andreas Maurer, Massimiliano Pontil:
  Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces. 79-91
  
• Ohad Shamir, Sivan Sabato, Naftali Tishby:
  Learning and Generalization with the Information Bottleneck. 92-107
  

Probability and Stochastic Processes

• László Györfi, István Vajda:
  Growth Optimal Investment with Transaction Costs. 108-122
  
• Ronald Ortner:
  Online Regret Bounds for Markov Decision Processes with Deterministic Transitions. 123-137
  
• Alexey V. Chernov, Alexander Shen, Nikolai K. Vereshchagin, Vladimir Vovk:
  On-Line Probability, Complexity and Randomness. 138-153
  
• Vladimir Vovk, Alexander Shen:
  Prequential Randomness. 154-168
  
• Daniil Ryabko:
  Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor. 169-182
  
• Arthur Gretton, László Györfi:
  Nonparametric Independence Tests: Space Partitioning and Kernel Approaches. 183-198
  

Boosting and Experts

• Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk:
  Supermartingales in Prediction with Expert Advice. 199-213
  
• Mikhail Dashevskiy:
  Aggregating Algorithm for a Space of Analytic Functions. 214-226
  
• Jun-ichi Moribe, Kohei Hatano, Eiji Takimoto, Masayuki Takeda:
  Smooth Boosting for Margin-Based Ranking. 227-239
  
• Indraneel Mukherjee, Robert E. Schapire:
  Learning with Continuous Experts Using Drifting Games. 240-255
  
• Manfred K. Warmuth, Karen A. Glocer, S. V. N. Vishwanathan:
  Entropy Regularized LPBoost. 256-271
  

Active Learning and Queries

• Dana Angluin, James Aspnes, Lev Reyzin:
  Optimally Learning Social Networks with Activations and Suppressions. 272-286
  
• András Antos, Varun Grover, Csaba Szepesvári:
  Active Learning in Multi-armed Bandits. 287-302
  
• Marta Arias, José L. Balcázar:
  Query Learning and Certificates in Lattices. 303-315
  
• Maria-Florina Balcan, Avrim Blum:
  Clustering with Interactive Feedback. 316-328
  
• Gábor Bartók, Csaba Szepesvári, Sandra Zilles:
  Active Learning of Group-Structured Environments. 329-343
  
• Shlomo Hoory, Oded Margalit:
  Finding the Rare Cube. 344-358
  

Inductive Inference

• Leonor Becerra-Bonache, John Case, Sanjay Jain, Frank Stephan:
  Iterative Learning of Simple External Contextual Languages. 359-373
  
• Matthew de Brecht, Akihiro Yamamoto:
  Topological Properties of Concept Spaces. 374-388
  
• John Case, Timo Kötzing:
  Dynamically Delayed Postdictive Completeness and Consistency in Learning. 389-403
  
• John Case, Timo Kötzing:
  Dynamic Modeling in Inductive Inference. 404-418
  
• John Case, Samuel E. Moelius:
  Optimal Language Learning. 419-433
  
• Sanjay Jain, Frank Stephan:
  Numberings Optimal for Learning. 434-448
  
• Steffen Lange, Samuel E. Moelius, Sandra Zilles:
  Learning with Temporary Memory. 449-463
  

Erratum

• Jittat Fakcharoenphol, Boonserm Kijsirikul:
  Erratum: Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors. 464-466
  

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