ALT B

25 papers

YearTitle / Authors
2016A Combinatorial Metrical Task System Problem Under the Uniform Metric.
Takumi Nakazono, Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto
2016A Spectral Algorithm with Additive Clustering for the Recovery of Overlapping Communities in Networks.
Emilie Kaufmann, Thomas Bonald, Marc Lelarge
2016A Vector-Contraction Inequality for Rademacher Complexities.
Andreas Maurer
2016Algorithmic Learning Theory - 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings
Ronald Ortner, Hans Ulrich Simon, Sandra Zilles
2016An Upper Bound for Aggregating Algorithm for Regression with Changing Dependencies.
Yuri Kalnishkan
2016Classifying the Arithmetical Complexity of Teaching Models.
Achilles Beros, Ziyuan Gao, Sandra Zilles
2016Competitive Portfolio Selection Using Stochastic Predictions.
Tugkan Batu, Pongphat Taptagaporn
2016Exact Learning of Juntas from Membership Queries.
Nader H. Bshouty, Areej Costa
2016Finding Meaningful Cluster Structure Amidst Background Noise.
Shrinu Kushagra, Samira Samadi, Shai Ben-David
2016Intrinsic Complexity of Partial Learning.
Sanjay Jain, Efim B. Kinber
2016Labeled Compression Schemes for Extremal Classes.
Shay Moran, Manfred K. Warmuth
2016Learning Finite Variants of Single Languages from Informant.
Klaus Ambos-Spies
2016Learning Pattern Languages over Groups.
Rupert Hölzl, Sanjay Jain, Frank Stephan
2016Learning with Rejection.
Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
2016Localization of VC Classes: Beyond Local Rademacher Complexities.
Nikita Zhivotovskiy, Steve Hanneke
2016On Minimaxity of Follow the Leader Strategy in the Stochastic Setting.
Wojciech Kotlowski
2016On Version Space Compression.
Shai Ben-David, Ruth Urner
2016On the Evolution of Monotone Conjunctions: Drilling for Best Approximations.
Dimitrios I. Diochnos
2016On the Prior Sensitivity of Thompson Sampling.
Che-Yu Liu, Lihong Li
2016Q(λ) with Off-Policy Corrections.
Anna Harutyunyan, Marc G. Bellemare, Tom Stepleton, Rémi Munos
2016Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach.
Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2016Structural Online Learning.
Mehryar Mohri, Scott Yang
2016Submodular Learning and Covering with Response-Dependent Costs.
Sivan Sabato
2016The Maximum Cosine Framework for Deriving Perceptron Based Linear Classifiers.
Nader H. Bshouty, Catherine A. Haddad-Zaknoon
2016Things Bayes Can't Do.
Daniil Ryabko