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Infinite-Horizon Policy-Gradient Estimation

The Journal of artificial intelligence research, 2001-01, Vol.15, p.319-350

2001

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Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization

IEEE transactions on information theory, 2012-05, Vol.58 (5), p.3235-3249

2012

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Experiments with Infinite-Horizon, Policy-Gradient Estimation

The Journal of artificial intelligence research, 2001-01, Vol.15, p.351-381

2001

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The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network

IEEE transactions on information theory, 1998-03, Vol.44 (2), p.525-536

Bartlett, P.L.

1998

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New Support Vector Algorithms

Neural computation, 2000-05, Vol.12 (5), p.1207-1245

2000

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Model Selection and Error Estimation

Machine learning, 2002, Vol.48 (1-3), p.85-113

2002

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H(2p) excitation by 54.4 eV electrons

Journal of physics. B, Atomic, molecular, and optical physics, 2005-03, Vol.38 (6), p.L95-L98

2005

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Learning Changing Concepts by Exploiting the Structure of Change

Machine learning, 2000-11, Vol.41 (2), p.153-174

2000

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Structural risk minimization over data-dependent hierarchies

IEEE transactions on information theory, 1998-09, Vol.44 (5), p.1926-1940

1998

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Rademacher and Gaussian complexities: Risk bounds and structural results

Journal of machine learning research, 2003-04, Vol.3 (3), p.463-482

2003

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Covering numbers for real-valued function classes

IEEE transactions on information theory, 1997-09, Vol.43 (5), p.1721-1724

1997

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A Learning-Based Approach to Reactive Security

IEEE transactions on dependable and secure computing, 2012-07, Vol.9 (4), p.482-493

2012

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Theory of Electron Impact Ionization of Atoms

Ionization, Correlation, and Polarization in Atomic Collisions, 2006, Vol.811, p.36-41

2006

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Efficient agnostic learning of neural networks with bounded fan-in

IEEE transactions on information theory, 1996-11, Vol.42 (6), p.2118-2132

1996

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Local Rademacher Complexities

The Annals of statistics, 2005-08, Vol.33 (4), p.1497-1537

2005

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The minimax distortion redundancy in empirical quantizer design

IEEE transactions on information theory, 1998-09, Vol.44 (5), p.1802-1813

1998

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Convexity, Classification, and Risk Bounds

Journal of the American Statistical Association, 2006-03, Vol.101 (473), p.138-156

2006

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The importance of convexity in learning with squared loss

IEEE transactions on information theory, 1998-09, Vol.44 (5), p.1974-1980

1998

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Covering numbers for support vector machines

IEEE transactions on information theory, 2002-01, Vol.48 (1), p.239-250

2002

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Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks

Neural computation, 1998-11, Vol.10 (8), p.2159-2173

1998

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Electron- and positron-impact atomic scattering calculations using propagating exterior complex scaling

Journal of physics. Conference series, 2007-11, Vol.88 (1), p.012011

2007

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Born total ionisation cross sections: An algebraic computing program using Maple

Computer physics communications, 2003-08, Vol.154 (2), p.159-174

2003

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Fat-Shattering and the Learnability of Real-Valued Functions

Journal of computer and system sciences, 1996-06, Vol.52 (3), p.434-452

1996

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Empirical minimization

Probability theory and related fields, 2006-07, Vol.135 (3), p.311-334

2006

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Permeation Studies of CFC Alternative Blowing Agents for Rigid Polyurethane Foams

Journal of cellular plastics, 1994-03, Vol.30 (2), p.126-143

1994

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Infinite-Horizon Policy-Gradient Estimation

Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization

Experiments with Infinite-Horizon, Policy-Gradient Estimation

The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network

New Support Vector Algorithms

Model Selection and Error Estimation

H(2p) excitation by 54.4 eV electrons

Learning Changing Concepts by Exploiting the Structure of Change

Structural risk minimization over data-dependent hierarchies

Rademacher and Gaussian complexities: Risk bounds and structural results

Covering numbers for real-valued function classes

A Learning-Based Approach to Reactive Security

Theory of Electron Impact Ionization of Atoms

Efficient agnostic learning of neural networks with bounded fan-in

Local Rademacher Complexities

The minimax distortion redundancy in empirical quantizer design

Convexity, Classification, and Risk Bounds

The importance of convexity in learning with squared loss

Covering numbers for support vector machines

Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks

Electron- and positron-impact atomic scattering calculations using propagating exterior complex scaling

Born total ionisation cross sections: An algebraic computing program using Maple

Fat-Shattering and the Learnability of Real-Valued Functions

Empirical minimization

Permeation Studies of CFC Alternative Blowing Agents for Rigid Polyurethane Foams

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