A Second-Order Perceptron Algorithm

A distributed voting scheme to maximize preferences

A generalized online mirror descent with applications to classification and regression

A graph-theoretic generalization of the Sauer-Shelah lemma

Active Incremental Recognition of Human Activities in a Streaming Context

scholarly article by Rocco De Rosa et al published November 2017 in Pattern Recognition Letters

Adaptive and Self-Confident On-Line Learning Algorithms

Analysis of Two Gradient-Based Algorithms for On-Line Regression

scholarly article by Nicolò Cesa-Bianchi published December 1999 in Journal of Computer and System Sciences

Analysis of two gradient-based algorithms for on-line regression

scholarly article published 1997

Applications of regularized least squares to pattern classification

article by Nicolò Cesa-Bianchi published September 2007 in Theoretical Computer Science

Characterizations of learnability for classes of {O, …, n}-valued functions

Combinatorial bandits

Efficient Transductive Online Learning via Randomized Rounding

Efficient learning with equivalence queries of conjunctions of modulo functions

Ensembles and Multiple Classifiers: A Game-Theoretic View

Finite-time Analysis of the Multiarmed Bandit Problem

scientific article published in 2002

Foreword

Guest Editorial: Learning from multiple sources

HCGene: a software tool to support the hierarchical classification of genes

scientific article published on 18 January 2008

Hierarchical classification

How to use expert advice

How to use expert advice

Improved Second-Order Bounds for Prediction with Expert Advice

Improved second-order bounds for prediction with expert advice

Learning Probabilistic Linear-Threshold Classifiers via Selective Sampling

Learning Unknown Graphs

Learning noisy linear classifiers via adaptive and selective sampling

article published in 2010

Minimax regret under log loss for general classes of experts

Minimizing Regret with Label Efficient Prediction

Multi-armed Bandit Problem

Multi-armed Bandit Problem

Multitask Protein Function Prediction Through Task Dissimilarity

scientific article

Noise-tolerant learning near the information-theoretic bound

scholarly article published 1996

On Bayes methods for on-line Boolean prediction

On sequential prediction of individual sequences relative to a set of experts

Predicting the labels of an unknown graph via adaptive exploration

Regret Bounds for Hierarchical Classification with Linear-Threshold Functions

Regret Minimization Under Partial Monitoring

Sample-efficient strategies for learning in the presence of noise

Scale-sensitive dimensions, uniform convergence, and learnability

Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference

article

The Nonstochastic Multiarmed Bandit Problem

article

Tight bounds on the cumulative profit of distributed voters

Tracking the Best Hyperplane with a Simple Budget Perceptron

Tracking the best hyperplane with a simple budget Perceptron

Worst-case quadratic loss bounds for prediction using linear functions and gradient descent.

scientific article published in January 1996