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» Complexity bounds for zero-test algorithms
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STOC
2004
ACM
94views Algorithms» more  STOC 2004»
15 years 10 months ago
Sublinear algorithms for testing monotone and unimodal distributions
The complexity of testing properties of monotone and unimodal distributions, when given access only to samples of the distribution, is investigated. Two kinds of sublineartime alg...
Tugkan Batu, Ravi Kumar, Ronitt Rubinfeld
STOC
1993
ACM
264views Algorithms» more  STOC 1993»
15 years 2 months ago
Contention in shared memory algorithms
Most complexity measures for concurrent algorithms for asynchronous shared-memory architectures focus on process steps and memory consumption. In practice, however, performance of ...
Cynthia Dwork, Maurice Herlihy, Orli Waarts
ECCV
2006
Springer
15 years 12 months ago
Comparison of Energy Minimization Algorithms for Highly Connected Graphs
Algorithms for discrete energy minimization play a fundamental role for low-level vision. Known techniques include graph cuts, belief propagation (BP) and recently introduced tree-...
Vladimir Kolmogorov, Carsten Rother
JCSS
2008
138views more  JCSS 2008»
14 years 10 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
NIPS
1998
14 years 11 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh