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SODA
2010
ACM
164views Algorithms» more  SODA 2010»
14 years 4 months ago
Differentially Private Approximation Algorithms
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
NIPS
2007
13 years 9 months ago
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
Ambuj Tewari, Peter L. Bartlett
COCO
2005
Springer
110views Algorithms» more  COCO 2005»
14 years 1 months ago
Prior Entanglement, Message Compression and Privacy in Quantum Communication
Consider a two-party quantum communication protocol for computing some function f : {0, 1}n × {0, 1}n → Z. We show that the first message of P can be compressed to O(k) classi...
Rahul Jain, Jaikumar Radhakrishnan, Pranab Sen
ISCA
2006
IEEE
107views Hardware» more  ISCA 2006»
14 years 1 months ago
Distributed Arithmetic on a Quantum Multicomputer
We evaluate the performance of quantum arithmetic algorithms run on a distributed quantum computer (a quantum multicomputer). We vary the node capacity and I/O capabilities, and t...
Rodney Van Meter, Kae Nemoto, W. J. Munro, Kohei M...
SPAA
2010
ACM
13 years 7 months ago
Scheduling to minimize power consumption using submodular functions
We develop logarithmic approximation algorithms for extremely general formulations of multiprocessor multiinterval offline task scheduling to minimize power usage. Here each proce...
Erik D. Demaine, Morteza Zadimoghaddam