Abstract is missing.
- Efficient Matrix Sensing Using Rank-1 Gaussian MeasurementsKai Zhong, Prateek Jain 0002, Inderjit S. Dhillon. 3-18 [doi]
- Tensor Decompositions for Learning Latent Variable Models (A Survey for ALT)Anima Anandkumar, Rong Ge, Daniel Hsu, Sham M. Kakade, Matus Telgarsky. 19-38 [doi]
- Priced LearningSanjay Jain, Junqi Ma, Frank Stephan. 41-55 [doi]
- Combining Models of Approximation with Partial LearningZiyuan Gao, Frank Stephan, Sandra Zilles. 56-70 [doi]
- Exact Learning of Multivalued DependenciesMontserrat Hermo, Ana Ozaki. 73-88 [doi]
- Non-adaptive Learning of a Hidden HypergraphHasan Abasi, Nader H. Bshouty, Hanna Mazzawi. 89-101 [doi]
- On the Teaching Complexity of Linear SetsZiyuan Gao, Hans-Ulrich Simon, Sandra Zilles. 102-116 [doi]
- Learning a Random DFA from Uniform Strings and State InformationDana Angluin, Dongqu Chen. 119-133 [doi]
- Hierarchical Design of Fast Minimum Disagreement AlgorithmsMalte Darnstädt, Christoph Ries, Hans-Ulrich Simon. 134-148 [doi]
- Learning with a Drifting Target ConceptSteve Hanneke, Varun Kanade, Liu Yang. 149-164 [doi]
- Interactive Clustering of Linear Classes and Cryptographic Lower BoundsÁdám Dániel Lelkes, Lev Reyzin. 165-176 [doi]
- On the Rademacher Complexity of Weighted AutomataBorja Balle, Mehryar Mohri. 179-193 [doi]
- Multi-task and Lifelong Learning of KernelsAnastasia Pentina, Shai Ben-David. 194-208 [doi]
- Permutational Rademacher Complexity - A New Complexity Measure for Transductive LearningIlya O. Tolstikhin, Nikita Zhivotovskiy, Gilles Blanchard. 209-223 [doi]
- Subsampling in Smoothed Range SpacesJeff M. Phillips, Yan Zheng. 224-238 [doi]
- Information Preserving Dimensionality ReductionShrinu Kushagra, Shai Ben-David. 239-253 [doi]
- Learning with Deep CascadesGiulia DeSalvo, Mehryar Mohri, Umar Syed. 254-269 [doi]
- Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning TasksLiu Yang, Steve Hanneke, Jaime G. Carbonell. 270-284 [doi]
- Scale-Free Algorithms for Online Linear OptimizationFrancesco Orabona, Dávid Pál. 287-301 [doi]
- Online Learning in Markov Decision Processes with Continuous ActionsYi-Te Hong, Chi-Jen Lu. 302-316 [doi]
- Adaptive Sampling for Incremental Optimization Using Stochastic Gradient DescentGuillaume Papa, Pascal Bianchi, Stéphan Clémençon. 317-331 [doi]
- Online Linear Optimization for Job Scheduling Under Precedence ConstraintsTakahiro Fujita, Kohei Hatano, Shuji Kijima, Eiji Takimoto. 332-346 [doi]
- Solomonoff Induction Violates Nicod's CriterionJan Leike, Marcus Hutter. 349-363 [doi]
- On the Computability of Solomonoff Induction and Knowledge-SeekingJan Leike, Marcus Hutter. 364-378 [doi]
- Two Problems for SophisticationPeter Bloem, Steven de Rooij, Pieter Adriaans. 379-394 [doi]