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JMLR
2010
147views more  JMLR 2010»
13 years 3 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
TSP
2010
13 years 3 months ago
Coherence-based performance guarantees for estimating a sparse vector under random noise
We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements Ax0 +w, where w represents white Gaussian noise and A is a given determinis...
Zvika Ben-Haim, Yonina C. Eldar, Michael Elad
CORR
2011
Springer
194views Education» more  CORR 2011»
13 years 27 days ago
Accelerating Reinforcement Learning through Implicit Imitation
Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent’s ability to learn useful behaviors by making intelligent use of the kn...
Craig Boutilier, Bob Price
CORR
2011
Springer
221views Education» more  CORR 2011»
13 years 27 days ago
Degrees of Freedom Region of the Gaussian MIMO Broadcast Channel with Common and Private Messages
We consider the Gaussian multiple-input multiple-output (MIMO) broadcast channel with common and private messages. We obtain the degrees of freedom (DoF) region of this channel. W...
Ersen Ekrem, Sennur Ulukus
ICASSP
2011
IEEE
13 years 26 days ago
Probabilistic SINR constrained robust transmit beamforming: A Bernstein-type inequality based conservative approach
Recently, robust transmit beamforming has drawn considerable attention because it can provide guaranteed receiver performance in the presence of channel state information (CSI) er...
Kun-Yu Wang, Tsung-Hui Chang, Wing-Kin Ma, Anthony...