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Accelerated Mirror Descent in Continuous and Discrete Time ⬇️

artículo científico publicado en 2015

AdaBoost is Consistent ⬇️

artículo científico publicado en 2007

Adaptive Averaging in Accelerated Descent Dynamics ⬇️

artículo científico publicado en 2016

Adaptive Online Gradient Descent ⬇️

Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks ⬇️

article by Peter Bartlett et al published 1999 in Advances in Neural Information Processing Systems 11

Alternating minimization for dictionary learning with random initialization ⬇️

artículo científico publicado en 2017

Boosting Algorithms as Gradient Descent ⬇️

scholarly article by Llew Mason et al published 2000 in Advances in Neural Information Processing Systems 12

Direct Optimization of Margins Improves Generalization in Combined Classifiers ⬇️

artículo científico publicado en 1999

Efficient Minimax Strategies for Square Loss Games ⬇️

artículo científico publicado en 2014

Examples of learning curves from a modified VC-formalism ⬇️

artículo científico publicado en 1996

Exponentiated Gradient Algorithms for Large-margin Structured Classification ⬇️

artículo científico publicado en 2005

For Valid Generalization the Size of the Weights is More Important than the Size of the Network ⬇️

artículo científico publicado en 1997

Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation ⬇️

Generalization in Decision Trees and DNF: Does Size Matter? ⬇️

Horizon-Independent Minimax Linear Regression ⬇️

scholarly article by Alan Malek & Peter Bartlett published 2018 in Advances in Neural Information Processing Systems 31

How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal ⬇️

Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates ⬇️

artículo científico publicado en 2004

Minimax Time Series Prediction ⬇️

Model Selection and Error Estimation

article

Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions ⬇️

Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs ⬇️

artículo científico publicado en 2008

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

scientific article published in 2002

Sample Complexity of Policy Search with Known Dynamics ⬇️

artículo científico publicado en 2007

Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds ⬇️

artículo científico publicado en 2007

Shrinking the Tube: A New Support Vector Regression Algorithm ⬇️

Sparse Greedy Gaussian Process Regression ⬇️

Splines, Rational Functions and Neural Networks ⬇️

artículo científico publicado en 1992

The Canonical Distortion Measure in Feature Space and 1-NN Classification ⬇️

Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning ⬇️

scholarly article by Evan Greensmith et al published 2002 in Advances in Neural Information Processing Systems 14

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