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Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks

Neural computation, 2019-03, Vol.31 (3), p.477-502

2019

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Computational Learning Theory: 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, the Netherlands, July 16-19, 2001, Proceedings

2001 edition., 2001

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Mistake bounds on the noise-free multi-armed bandit game

Information and computation, 2019-12, Vol.269, p.104453, Article 104453

2019

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How to use expert advice

Journal of the ACM, 1997-05, Vol.44 (3), p.427-485

1997

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On-Line Portfolio Selection Using Multiplicative Updates

Mathematical finance, 1998-10, Vol.8 (4), p.325-347

1998

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Adaptive disk spin-down for mobile computers

Mobile networks and applications, 2000-12, Vol.5 (4), p.285-297

2000

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A Generalized Representer Theorem

Computational Learning Theory, 2001, Vol.2111, p.416-426

2001

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Boosting Methods for Regression

Machine learning, 2002-05, Vol.47 (2-3), p.153-200

2002

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Modeling, analyzing, and synthesizing expressive piano performance with graphical models

Machine learning, 2006-12, Vol.65 (2-3), p.361-387

2006

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Debugging concurrent programs

ACM computing surveys, 1989-12, Vol.21 (4), p.593-622

1989

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Apple tasting

Information and computation, 2000, Vol.161 (2), p.85-139

2000

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Combining initial segments of lists

Theoretical computer science, 2014-01, Vol.519, p.29-45

2014

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Aerial Lidar Data Classification using AdaBoost

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007), 2007, p.435-442

2007

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A Comparison of New and Old Algorithms for a Mixture Estimation Problem

Machine learning, 1997, Vol.27 (1), p.97-119

1997

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Improved Lower Bounds for Learning from Noisy Examples: An Information-Theoretic Approach

Information and computation, 2001-05, Vol.166 (2), p.133-155

2001

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Modeling, analyzing, and synthesizing expressive piano performance with graphical models: Special issue on machine learning in and for music

Machine learning, 2006, Vol.65 (2-3), p.361-387

2006

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Noise Free Multi-armed Bandit Game

Language and Automata Theory and Applications, p.412-423

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On-line prediction and conversion strategies

Machine learning, 1996, Vol.25 (1), p.71-110

1996

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On-line learning with linear loss constraints

Information and computation, 2000, Vol.161 (2), p.140-171

2000

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Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

Computational Learning Theory, 2001, Vol.2111, p.224-240

2001

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Aerial LiDAR Data Classification Using Support Vector Machines (SVM)

Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), 2006, p.567-574

2006

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A geometric approach to leveraging weak learners

Theoretical computer science, 2002-07, Vol.284 (1), p.67-108

2002

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Discrete Prediction Games with Arbitrary Feedback and Loss

Computational Learning Theory, 2001, Vol.2111, p.208-223

2001

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Combining Initial Segments of Lists

Algorithmic Learning Theory, p.219-233

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Tracking drifting concepts by minimizing disagreements

Machine learning, 1994-01, Vol.14 (1), p.27-45

1994

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Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks

Computational Learning Theory: 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, the Netherlands, July 16-19, 2001, Proceedings

Mistake bounds on the noise-free multi-armed bandit game

How to use expert advice

On-Line Portfolio Selection Using Multiplicative Updates

Adaptive disk spin-down for mobile computers

A Generalized Representer Theorem

Boosting Methods for Regression

Modeling, analyzing, and synthesizing expressive piano performance with graphical models

Debugging concurrent programs

Apple tasting

Combining initial segments of lists

Aerial Lidar Data Classification using AdaBoost

A Comparison of New and Old Algorithms for a Mixture Estimation Problem

Improved Lower Bounds for Learning from Noisy Examples: An Information-Theoretic Approach

Modeling, analyzing, and synthesizing expressive piano performance with graphical models: Special issue on machine learning in and for music

Noise Free Multi-armed Bandit Game

On-line prediction and conversion strategies

On-line learning with linear loss constraints

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

Aerial LiDAR Data Classification Using Support Vector Machines (SVM)

A geometric approach to leveraging weak learners

Discrete Prediction Games with Arbitrary Feedback and Loss

Combining Initial Segments of Lists

Tracking drifting concepts by minimizing disagreements

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