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UAI
1998
15 years 8 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul
ICASSP
2010
IEEE
15 years 6 months ago
On unbiased estimation of sparse vectors corrupted by Gaussian noise
We consider the estimation of a sparse parameter vector from measurements corrupted by white Gaussian noise. Our focus is on unbiased estimation as a setting under which the difï¬...
Alexander Jung, Zvika Ben-Haim, Franz Hlawatsch, Y...
CORR
2010
Springer
62views Education» more  CORR 2010»
15 years 6 months ago
Information embedding meets distributed control
We consider the problem of information embedding where the encoder modifies a white Gaussian host signal in a power-constrained manner to encode the message, and the decoder recov...
Pulkit Grover, Aaron B. Wagner, Anant Sahai
CORR
2008
Springer
87views Education» more  CORR 2008»
15 years 6 months ago
Green Codes: Energy-Efficient Short-Range Communication
Abstract-- A green code attempts to minimize the total energy per-bit required to communicate across a noisy channel. The classical information-theoretic approach neglects the ener...
Pulkit Grover, Anant Sahai
CORR
2007
Springer
82views Education» more  CORR 2007»
15 years 6 months ago
Sorting and Selection with Random Costs
There is a growing body of work on sorting and selection in models other than the unit-cost comparison model. This work treats a natural stochastic variant of the problem where the...
Stanislav Angelov, Keshav Kunal, Andrew McGregor