ALT B

30 papers

YearTitle / Authors
2012A Closer Look at Adaptive Regret.
Dmitry Adamskiy, Wouter M. Koolen, Alexey V. Chernov, Vladimir Vovk
2012Algorithmic Learning Theory - 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings
Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann
2012Automatic Learning from Positive Data and Negative Counterexamples.
Sanjay Jain, Efim B. Kinber
2012Buy Low, Sell High.
Wouter M. Koolen, Vladimir Vovk
2012Confident and Consistent Partial Learning of Recursive Functions.
Ziyuan Gao, Frank Stephan
2012Data Stability in Clustering: A Closer Look.
Lev Reyzin
2012Declarative Modeling for Machine Learning and Data Mining.
Luc De Raedt
2012Editors' Introduction.
Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann
2012Efficient Protocols for Distributed Classification and Optimization.
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012Enlarging Learnable Classes.
Sanjay Jain, Timo Kötzing, Frank Stephan
2012Exploring Sequential Data.
Gilbert Ritschard
2012Kernelization of Matrix Updates, When and How?
Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou
2012Learnability beyond Uniform Convergence.
Shai Shalev-Shwartz
2012Lower Bounds on Individual Sequence Regret.
Eyal Gofer, Yishay Mansour
2012Minimax Number of Strata for Online Stratified Sampling Given Noisy Samples.
Alexandra Carpentier, Rémi Munos
2012New Analysis and Algorithm for Learning with Drifting Distributions.
Mehryar Mohri, Andres Muñoz Medina
2012On the Hardness of Domain Adaptation and the Utility of Unlabeled Target Samples.
Shai Ben-David, Ruth Urner
2012On the Learnability of Shuffle Ideals.
Dana Angluin, James Aspnes, Aryeh Kontorovich
2012Online Prediction under Submodular Constraints.
Daiki Suehiro, Kohei Hatano, Shuji Kijima, Eiji Takimoto, Kiyohito Nagano
2012PAC Bounds for Discounted MDPs.
Tor Lattimore, Marcus Hutter
2012Partial Monitoring with Side Information.
Gábor Bartók, Csaba Szepesvári
2012Predictive Complexity and Generalized Entropy Rate of Stationary Ergodic Processes.
Mrinalkanti Ghosh, Satyadev Nandakumar
2012Recent Developments in Pattern Mining.
Toon Calders
2012Regret Bounds for Restless Markov Bandits.
Ronald Ortner, Daniil Ryabko, Peter Auer, Rémi Munos
2012Regular Inference as Vertex Coloring.
Christophe Costa Florêncio, Sicco Verwer
2012Sauer's Bound for a Notion of Teaching Complexity.
Rahim Samei, Pavel Semukhin, Boting Yang, Sandra Zilles
2012Some Rates of Convergence for the Selected Lasso Estimator.
Pascal Massart, Caroline Meynet
2012The Safe Bayesian - Learning the Learning Rate via the Mixability Gap.
Peter Grünwald
2012Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis.
Emilie Kaufmann, Nathaniel Korda, Rémi Munos
2012Weighted Last-Step Min-Max Algorithm with Improved Sub-logarithmic Regret.
Edward Moroshko, Koby Crammer