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» Lower Bounds in Distributed Computing
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120
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FM
2008
Springer
148views Formal Methods» more  FM 2008»
15 years 5 months ago
Precise Interval Analysis vs. Parity Games
In [?], a practical algorithm for precise interval analysis is provided for which, however, no non-trivial upper complexity bound is known. Here, we present a lower bound by showin...
Thomas Gawlitza, Helmut Seidl
129
Voted
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
15 years 5 months ago
Making k-means Even Faster
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Greg Hamerly
NIPS
2008
15 years 5 months ago
Mind the Duality Gap: Logarithmic regret algorithms for online optimization
We describe a primal-dual framework for the design and analysis of online strongly convex optimization algorithms. Our framework yields the tightest known logarithmic regret bound...
Shai Shalev-Shwartz, Sham M. Kakade
MP
2008
103views more  MP 2008»
15 years 4 months ago
Aggregation and discretization in multistage stochastic programming
Multistage stochastic programs have applications in many areas and support policy makers in finding rational decisions that hedge against unforeseen negative events. In order to en...
Daniel Kuhn
132
Voted
ML
2002
ACM
121views Machine Learning» more  ML 2002»
15 years 3 months ago
Near-Optimal Reinforcement Learning in Polynomial Time
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
Michael J. Kearns, Satinder P. Singh