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NIPS
1998
13 years 9 months ago
Inference in Multilayer Networks via Large Deviation Bounds
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
Michael J. Kearns, Lawrence K. Saul
AAAI
2012
11 years 10 months ago
Generalized Sampling and Variance in Counterfactual Regret Minimization
In large extensive form games with imperfect information, Counterfactual Regret Minimization (CFR) is a popular, iterative algorithm for computing approximate Nash equilibria. Whi...
Richard G. Gibson, Marc Lanctot, Neil Burch, Duane...
ICALP
2009
Springer
14 years 8 months ago
Improved Bounds for Flow Shop Scheduling
We resolve an open question raised by Feige & Scheideler by showing that the best known approximation algorithm for flow shops is essentially tight with respect to the used low...
Monaldo Mastrolilli, Ola Svensson
ESCAPE
2007
Springer
266views Algorithms» more  ESCAPE 2007»
14 years 2 months ago
CR-precis: A Deterministic Summary Structure for Update Data Streams
We present deterministic sub-linear space algorithms for a number of problems over update data streams, including, estimating frequencies of items and ranges, finding approximate ...
Sumit Ganguly, Anirban Majumder
TALG
2010
123views more  TALG 2010»
13 years 6 months ago
Lower-bounded facility location
We study the lower-bounded facility location problem, which generalizes the classical uncapacitated facility location problem in that it comes with lower bound constraints for the...
Zoya Svitkina