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» Randomized Algorithms and Complexity Theory
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SODA
2010
ACM
208views Algorithms» more  SODA 2010»
16 years 1 months ago
Correlation Robust Stochastic Optimization
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Y...
JMLR
2010
135views more  JMLR 2010»
15 years 2 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
EDBTW
2010
Springer
15 years 10 months ago
Updating probabilistic XML
We investigate the complexity of performing updates on probabilistic XML data for various classes of probabilistic XML documents of different succinctness. We consider two elemen...
Evgeny Kharlamov, Werner Nutt, Pierre Senellart
COCO
1998
Springer
103views Algorithms» more  COCO 1998»
15 years 8 months ago
Nonrelativizing Separations
We show that MAEXP, the exponential time version of the Merlin-Arthur class, does not have polynomial size circuits. This significantly improves the previous known result due to K...
Harry Buhrman, Lance Fortnow, Thomas Thierauf
STOC
1994
ACM
123views Algorithms» more  STOC 1994»
15 years 7 months ago
Natural proofs
Razborov and Rudich have shown that so-called natural proofs are not useful for separating P from NP unless hard pseudorandomnumber generators do not exist. This famous result is ...
Alexander A. Razborov, Steven Rudich