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» An ASM-Characterization of a Class of Distributed Algorithms
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ICALP
2009
Springer
15 years 10 months ago
Learning Halfspaces with Malicious Noise
We give new algorithms for learning halfspaces in the challenging malicious noise model, where an adversary may corrupt both the labels and the underlying distribution of examples....
Adam R. Klivans, Philip M. Long, Rocco A. Servedio
PPOPP
1999
ACM
15 years 2 months ago
MagPIe: MPI's Collective Communication Operations for Clustered Wide Area Systems
Writing parallel applications for computational grids is a challenging task. To achieve good performance, algorithms designed for local area networks must be adapted to the differ...
Thilo Kielmann, Rutger F. H. Hofman, Henri E. Bal,...
IPPS
1999
IEEE
15 years 2 months ago
The Case for Prediction-Based Best-Effort Real-Time Systems
Abstract. We propose a prediction-based best-effort real-time service to support distributed, interactive applications in shared, unreserved computing environments. These applicati...
Peter A. Dinda, Loukas F. Kallivokas, Bruce Loweka...
NIPS
2003
14 years 11 months ago
Self-calibrating Probability Forecasting
In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...
Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov
JMLR
2012
13 years 8 days ago
Fast interior-point inference in high-dimensional sparse, penalized state-space models
We present an algorithm for fast posterior inference in penalized high-dimensional state-space models, suitable in the case where a few measurements are taken in each time step. W...
Eftychios A. Pnevmatikakis, Liam Paninski