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List of works by Peter Leslie Bartlett

Accelerated Mirror Descent in Continuous and Discrete Time

scientific article published in January 2015

AdaBoost is Consistent

scientific article published in January 2007

Adaptive Averaging in Accelerated Descent Dynamics

scientific article published in January 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

scientific article published in January 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

scientific article published in January 1999

Efficient Minimax Strategies for Square Loss Games

scientific article published in January 2014

Examples of learning curves from a modified VC-formalism

scientific article published in January 1996

Exponentiated Gradient Algorithms for Large-margin Structured Classification

scientific article published in January 2005

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

scientific article published in January 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

scientific article published in January 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

scientific article published in January 2008

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

scientific article published in 2002

Sample Complexity of Policy Search with Known Dynamics

scientific article published in January 2007

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

scientific article published in January 2007

Shrinking the Tube: A New Support Vector Regression Algorithm

Sparse Greedy Gaussian Process Regression

Splines, Rational Functions and Neural Networks

scientific article published in January 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