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Ricard Gavaldà, Gábor Lugosi, Thomas Zeugmann and Sandra Zilles
Front matter
1
The Two Faces of Active Learning
2
Inference and Learning in Planning
3
Mining Heterogeneous Information Networks by Exploring the Power of Links
4-6
Learning and Domain Adaptation
7
Learning on the Web
8-22
Prediction with Expert Evaluators’ Advice
23-37
Pure Exploration in Multi-armed Bandits Problems
38-52
The Follow Perturbed Leader Algorithm Protected from Unbounded One-Step Losses
53-67
Computable Bayesian Compression for Uniformly Discretizable Statistical Models
68-82
Calibration and Internal No-Regret with Random Signals
83-96
St. Petersburg Portfolio Games
97-109
Reconstructing Weighted Graphs with Minimal Query Complexity
110-125
Learning Unknown Graphs
126-140
Completing Networks Using Observed Data
141-155
Average-Case Active Learning with Costs
156-170
Canonical Horn Representations and Query Learning
171-185
Learning Finite Automata Using Label Queries
186-200
Characterizing Statistical Query Learning: Simplified Notions and Proofs
201-215
An Algebraic Perspective on Boolean Function Learning
216-231
Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm
232-246
Complexity versus Agreement for Many Views Co-regularization for Multi-view Semi-supervised Learning
247-262
Error-Correcting Tournaments
263-277
Difficulties in Forcing Fairness of Polynomial Time Inductive Inference
278-292
Learning Mildly Context-Sensitive Languages with Multidimensional Substitutability from Positive Data
293-307
Uncountable Automatic Classes and Learning
308-322
Iterative Learning from Texts and Counterexamples Using Additional Information
323-337
Incremental Learning with Ordinal Bounded Example Memory
338-352
Learning from Streams
353-367
Smart PAC-Learners
368-383
Approximation Algorithms for Tensor Clustering
384-398
Agnostic Clustering
Back matter
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