Results 1  10
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8,286
Large N field theories, string theory and gravity
, 2001
"... We review the holographic correspondence between field theories and string/M theory, focusing on the relation between compactifications of string/M theory on Antide Sitter spaces and conformal field theories. We review the background for this correspondence and discuss its motivations and the evide ..."
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Cited by 1443 (45 self)
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and the evidence for its correctness. We describe the main results that have been derived from the correspondence in the regime that the field theory is approximated by classical or semiclassical gravity. We focus on the case of the N = 4 supersymmetric gauge theory in four dimensions, but we discuss also field
Rules, discretion, and reputation in a model of monetary policy
 JOURNAL OF MONETARY ECONOMICS
, 1983
"... In a discretionary regime the monetary authority can print more money and create more inflation than people expect. But, although these inflation surprises can have some benefits, they cannot arise systematically in equilibrium when people understand the policymakor's incentives and form their ..."
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Cited by 812 (9 self)
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In a discretionary regime the monetary authority can print more money and create more inflation than people expect. But, although these inflation surprises can have some benefits, they cannot arise systematically in equilibrium when people understand the policymakor's incentives and form
Compliance
"... Corporate Governance, Risk Management & Compliance (GRC) is typically thought of in terms of adhering to particular compliance regimes (such as SarbanesOxley) while addressing information security and privacy mandates (such as those found in HIPAA) is typically thought of as its own discrete ta ..."
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Corporate Governance, Risk Management & Compliance (GRC) is typically thought of in terms of adhering to particular compliance regimes (such as SarbanesOxley) while addressing information security and privacy mandates (such as those found in HIPAA) is typically thought of as its own discrete
The string dual of a confining fourdimensional gauge theory
, 2000
"... We study N = 1 gauge theories obtained by adding finite mass terms to N = 4 YangMills theory. The Maldacena dual is nonsingular: in each of the many vacua, there is an extended brane source, arising from Myers’ dielectric effect. The source consists of one or more (p,q) 5branes. In particular, the ..."
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Cited by 353 (8 self)
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We study N = 1 gauge theories obtained by adding finite mass terms to N = 4 YangMills theory. The Maldacena dual is nonsingular: in each of the many vacua, there is an extended brane source, arising from Myers’ dielectric effect. The source consists of one or more (p,q) 5branes. In particular
Developing multiagent systems with JADE
 Wiley Series in Agent Technology
, 2007
"... Abstract. JADE (Java Agent Development Framework) is a software framework to make easy the development of multiagent applications in compliance with the FIPA specifications. JADE can then be considered a middleware that implements an efficient agent platform and supports the development of multi a ..."
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Cited by 320 (5 self)
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Abstract. JADE (Java Agent Development Framework) is a software framework to make easy the development of multiagent applications in compliance with the FIPA specifications. JADE can then be considered a middleware that implements an efficient agent platform and supports the development of multi
Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers
"... This paper addresses the repeated acquisition of labels for data items when the labeling is imperfect. We examine the improvement (or lack thereof) in data quality via repeated labeling, and focus especially on the improvement of training labels for supervised induction. With the outsourcing of smal ..."
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Cited by 252 (12 self)
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labeling strategies of increasing complexity, and show several main results. (i) Repeatedlabeling can improve label quality and model quality, but not always. (ii) When labels are noisy, repeated labeling can be preferable to single labeling even in the traditional setting where labels are not particularly cheap
A New Approach to Variable Selection in Least Squares Problems
, 1999
"... The title Lasso has been suggested by Tibshirani [7] as a colourful name for a technique of variable selection which requires the minimization of a sum of squares subject to an ll bound r; on the solution. This forces zero components in the minimizing solution for small values of r;. Thus this bo ..."
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Cited by 244 (3 self)
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this bound can function as a selection parameter. This paper makes two contributions to computational problems associated with implementing the Lasso: (1) a com pact descent method for solving the constrained problem for a particular value of r; is formulated, and (2) a homotopy method, in which
The CostEffectiveness of Alternative Instruments for Environmental Protection in a Secondbest Setting
 Journal of Public Economics
, 1999
"... This paper employs analytical and numerical general equilibrium models to examine the costs of achieving pollution reductions under a range of environmental policy instruments in a secondbest setting with preexisting factor taxes. We compare the costs and overall efficiency impacts of emissions ta ..."
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Cited by 238 (66 self)
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existing taxes is particularly large for nonauctioned emissions quotas: here the cost increase can be several hundred percent. Earlier work on instrument choice has emphasized the potential reduction in compliance cost achievable by converting fixed emissions quotas into tradeable emissions permits. Our
Sparse Gaussian processes using pseudoinputs
 Advances in Neural Information Processing Systems 18
, 2006
"... We present a new Gaussian process (GP) regression model whose covariance is parameterized by the the locations of M pseudoinput points, which we learn by a gradient based optimization. We take M ≪ N, where N is the number of real data points, and hence obtain a sparse regression method which has O( ..."
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Cited by 229 (13 self)
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(M 2 N) training cost and O(M 2) prediction cost per test case. We also find hyperparameters of the covariance function in the same joint optimization. The method can be viewed as a Bayesian regression model with particular input dependent noise. The method turns out to be closely related to several
Using Randomization in Development Economics Research: A Tool Kit
, 2006
"... This paper is a practical guide (a toolkit) for researchers, students and practitioners wishing to introduce randomization as part of a research design in the field. It first covers the rationale for the use of randomization, as a solution to selection bias and a partial solution to publication bias ..."
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Cited by 168 (4 self)
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randomized evaluations when there are departures from the basic framework. It reviews in particular how to handle imperfect compliance and externalities. Finally, it discusses some of the issues involved in drawing general conclusions from randomized evaluations, including the necessary use of theory as a
Results 1  10
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8,286