Density estimation with stagewise optimization of the empirical risk
Stability of Unstable Learning Algorithms
Multi-Class Learning by Smoothed Boosting
Introduction to the special issue on learning and computational game theory
Slow emergence of cooperation for win-stay lose-shift on trees
AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents
A general criterion and an algorithmic framework for learning in multi-agent systems
Online calibrated forecasts: Memory efficiency versus universality for learning in games
Bidding agents for online auctions with hidden bids
Learning payoff functions in infinite games