🏢 University of Arizona

Lifelong learning in linear bandits gets a boost! A new algorithm, BOSS, achieves low regret without the usual ‘task diversity’ assumption, opening doors for more realistic sequential multi-task lear…

Adaptive experimentation tackles confounding in online A/B tests using encouragement designs and a novel linear bandit approach, achieving near-optimal sample complexity.