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CORR
2010
Springer
158views Education» more  CORR 2010»
13 years 10 months ago
Unifying the Landscape of Cell-Probe Lower Bounds
We show that a large fraction of the data-structure lower bounds known today in fact follow by reduction from the communication complexity of lopsided (asymmetric) set disjointness...
Mihai Patrascu
ALT
2004
Springer
14 years 6 months ago
On Kernels, Margins, and Low-Dimensional Mappings
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
JMLR
2012
12 years 7 days ago
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
COMPGEOM
1995
ACM
14 years 1 months ago
Searching for the Kernel of a Polygon - A Competitive Strategy
We present a competitive strategy for walking into the kernel of an initially unknown star-shaped polygon. From an arbitrary start point, s, within the polygon, our strategy find...
Christian Icking, Rolf Klein
CORR
2012
Springer
224views Education» more  CORR 2012»
12 years 5 months ago
On Approximation Lower Bounds for TSP with Bounded Metrics
We develop a new method for proving explicit approximation lower bounds for TSP problems with bounded metrics improving on the best up to now known bounds. They almost match the b...
Marek Karpinski, Richard Schmied