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CORR
2010
Springer
141views Education» more  CORR 2010»
14 years 9 months ago
The Equivalence of Sampling and Searching
In a sampling problem, we are given an input x {0, 1} n , and asked to sample approximately from a probability distribution Dx over poly (n)-bit strings. In a search problem, we ...
Scott Aaronson
ECCC
2010
124views more  ECCC 2010»
14 years 9 months ago
Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas
Much work has been done on learning various classes of "simple" monotone functions under the uniform distribution. In this paper we give the first unconditional lower bo...
Vitaly Feldman, Homin K. Lee, Rocco A. Servedio
CORR
2006
Springer
99views Education» more  CORR 2006»
14 years 9 months ago
Rational stochastic languages
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
François Denis, Yann Esposito
CPHYSICS
2006
103views more  CPHYSICS 2006»
14 years 9 months ago
WATERWAVES: wave particles dynamics on a complex triatomic potential
The WATERWAVES program suite performs complex scattering calculations by propagating a wave packet in a complex, full-dimensional potential for non-rotating (J = 0) but vibrating ...
Simone Taioli, Jonathan Tennyson
CC
2007
Springer
121views System Software» more  CC 2007»
14 years 9 months ago
If NP Languages are Hard on the Worst-Case, Then it is Easy to Find Their Hard Instances
We prove that if NP ⊆ BPP, i.e., if SAT is worst-case hard, then for every probabilistic polynomial-time algorithm trying to decide SAT, there exists some polynomially samplable ...
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma