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» Scale-Free Algorithms for Online Linear Optimization
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COLT
2008
Springer
14 years 11 months ago
Extracting Certainty from Uncertainty: Regret Bounded by Variation in Costs
Prediction from expert advice is a fundamental problem in machine learning. A major pillar of the field is the existence of learning algorithms whose average loss approaches that ...
Elad Hazan, Satyen Kale
AUTOMATICA
2010
123views more  AUTOMATICA 2010»
14 years 8 months ago
On the computation of linear model predictive control laws
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive ...
Francesco Borrelli, Mato Baotic, Jaroslav Pekar, G...
ICML
2009
IEEE
15 years 10 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
MASCOTS
2003
14 years 11 months ago
Minimizing Packet Loss by Optimizing OSPF Weights Using Online Simulation
In this paper, we present a scheme for minimizing packet loss in OSPF networks by optimizing link weights using Online Simulation. We have chosen packet loss rate in the network a...
Hema Tahilramani Kaur, Tao Ye, Shivkumar Kalyanara...
ICDCS
1995
IEEE
15 years 1 months ago
A Competitive Analysis for Retransmission Timeout
Protocols that provide reliable communicationon top of a network that can lose packets rely on periodically retransmitting packets. The choice of retransmission timeout critically...
Shlomi Dolev, Michael Kate, Jennifer L. Welch