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» Approximation algorithms for the 0-extension problem
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202
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STOC
2009
ACM
163views Algorithms» more  STOC 2009»
16 years 7 months ago
Non-monotone submodular maximization under matroid and knapsack constraints
Submodular function maximization is a central problem in combinatorial optimization, generalizing many important problems including Max Cut in directed/undirected graphs and in hy...
Jon Lee, Vahab S. Mirrokni, Viswanath Nagarajan, M...
144
Voted
ICML
2007
IEEE
16 years 7 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi
189
Voted
SODA
2008
ACM
84views Algorithms» more  SODA 2008»
15 years 8 months ago
Robust cost colorings
We consider graph coloring problems where the cost of a coloring is the sum of the costs of the colors, and the cost of a color is a monotone concave function of the total weight ...
Takuro Fukunaga, Magnús M. Halldórss...
SIGECOM
2008
ACM
94views ECommerce» more  SIGECOM 2008»
15 years 6 months ago
Optimizing query rewrites for keyword-based advertising
We consider the problem of query rewrites in the context of keyword advertisement. Given a three-layer graph consisting of queries, query rewrites, and the corresponding ads that ...
Azarakhsh Malekian, Chi-Chao Chang, Ravi Kumar, Gr...
ML
2002
ACM
146views Machine Learning» more  ML 2002»
15 years 6 months ago
Kernel Matching Pursuit
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
Pascal Vincent, Yoshua Bengio