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A Generalized Representer Theorem

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

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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Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

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

2001

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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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Determining possible event orders by analyzing sequential traces

IEEE transactions on parallel and distributed systems, 1993-07, Vol.4 (7), p.827-840

1993

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Learning Additive Models Online with Fast Evaluating Kernels

Computational Learning Theory, 2001, Vol.2111, p.444-460

2001

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Optimizing Average Reward Using Discounted Rewards

Computational Learning Theory, 2001, Vol.2111, p.605-615

2001

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Pattern Recognition and Density Estimation under the General i.i.d. Assumption

Computational Learning Theory, 2001, Vol.2111, p.337-353

2001

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Smooth Boosting and Learning with Malicious Noise

Computational Learning Theory, 2001, Vol.2111, p.473-489

2001

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Ultraconservative Online Algorithms for Multiclass Problems

Computational Learning Theory, 2001, Vol.2111, p.99-115

2001

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Agnostic Boosting

Computational Learning Theory, 2001, Vol.2111, p.507-516

2001

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A Leave-One-out Cross Validation Bound for Kernel Methods with Applications in Learning

Computational Learning Theory, 2001, Vol.2111, p.427-443

2001

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Learning Rates for Q-Learning

Computational Learning Theory, 2001, Vol.2111, p.589-604

2001

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Strong Entropy Concentration, Game Theory, and Algorithmic Randomness

Computational Learning Theory, 2001, Vol.2111, p.320-336

2001

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Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces

Computational Learning Theory, 2001, Vol.2111, p.402-415

2001

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Geometric Bounds for Generalization in Boosting

Computational Learning Theory, 2001, Vol.2111, p.461-472

2001

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Bounds on Sample Size for Policy Evaluation in Markov Environments

Computational Learning Theory, 2001, Vol.2111, p.616-629

2001

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Learning Regular Sets with an Incomplete Membership Oracle

Computational Learning Theory, 2001, Vol.2111, p.574-588

2001

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Limitations of Learning via Embeddings in Euclidean Half-Spaces

Computational Learning Theory, 2001, Vol.2111, p.385-401

2001

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On Boosting with Optimal Poly-Bounded Distributions

Computational Learning Theory, 2001, Vol.2111, p.490-506

2001

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A General Dimension for Exact Learning

Computational Learning Theory, 2001, Vol.2111, p.354-367

2001

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On the Synthesis of Strategies Identifying Recursive Functions

Computational Learning Theory, 2001, Vol.2111, p.160-176

2001

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Toward a Computational Theory of Data Acquisition and Truthing

Computational Learning Theory, 2001, Vol.2111, p.194-207

2001

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On Using Extended Statistical Queries to Avoid Membership Queries

Computational Learning Theory, 2001, Vol.2111, p.529-545

2001

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When Can Two Unsupervised Learners Achieve PAC Separation?

Computational Learning Theory, 2001, Vol.2111, p.303-319

2001

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A Generalized Representer Theorem

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

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

A geometric approach to leveraging weak learners

Determining possible event orders by analyzing sequential traces

Learning Additive Models Online with Fast Evaluating Kernels

Optimizing Average Reward Using Discounted Rewards

Pattern Recognition and Density Estimation under the General i.i.d. Assumption

Smooth Boosting and Learning with Malicious Noise

Ultraconservative Online Algorithms for Multiclass Problems

Agnostic Boosting

A Leave-One-out Cross Validation Bound for Kernel Methods with Applications in Learning

Learning Rates for Q-Learning

Strong Entropy Concentration, Game Theory, and Algorithmic Randomness

Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces

Geometric Bounds for Generalization in Boosting

Bounds on Sample Size for Policy Evaluation in Markov Environments

Learning Regular Sets with an Incomplete Membership Oracle

Limitations of Learning via Embeddings in Euclidean Half-Spaces

On Boosting with Optimal Poly-Bounded Distributions

A General Dimension for Exact Learning

On the Synthesis of Strategies Identifying Recursive Functions

Toward a Computational Theory of Data Acquisition and Truthing

On Using Extended Statistical Queries to Avoid Membership Queries

When Can Two Unsupervised Learners Achieve PAC Separation?

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