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» Bounds for Functions of Dependent Risks
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NIPS
2008
14 years 11 months ago
On the Generalization Ability of Online Strongly Convex Programming Algorithms
This paper examines the generalization properties of online convex programming algorithms when the loss function is Lipschitz and strongly convex. Our main result is a sharp bound...
Sham M. Kakade, Ambuj Tewari
JCS
2008
93views more  JCS 2008»
14 years 9 months ago
On the Bayes risk in information-hiding protocols
Randomized protocols for hiding private information can be regarded as noisy channels in the information-theoretic sense, and the inference of the concealed information can be reg...
Konstantinos Chatzikokolakis, Catuscia Palamidessi...
CORR
2008
Springer
106views Education» more  CORR 2008»
14 years 9 months ago
Outer Bounds for Multiple Access Channels with Feedback using Dependence Balance
We use the idea of dependence balance to obtain a new outer bound for the capacity region of the discrete memoryless multiple-access channel with noiseless feedback (MAC-FB). We co...
Ravi Tandon, Sennur Ulukus
AMAI
2004
Springer
15 years 2 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 4 months ago
Termination Proofs in the Dependency Pair Framework May Induce Multiple Recursive Derivational Complexity
We study the complexity of rewrite systems shown terminating via the dependency pair framework using processors for reduction pairs, dependency graphs, or the subterm criterion. T...
Georg Moser, Andreas Schnabl