Performative Prediction: Theory and Practice
Juan Perdomo [2023]
Learning when Objectives are Hard to Specify
Kush Bhatia [2022]
Model Selection for Contextual Bandits and Reinforcement Learning
Aldo Pacchiano [2021]
The Interplay between Sampling and Optimization
Cheng Xiang [2020]
Efficient Sequential Decision Making
Alan Malek [2017]
Minimax Optimality in Online Learning under Logarithmic Loss with Parametric Constant Experts
Fares Hedayati [2013]
Computational Trade-offs in Statistical Learning
Alekh Agarwal [2012]
Sequential Decision Making in Non-stochastic Environments
Jacob Abernethy [2011]
Secure Learning and Learning for Security: Research in the Intersection
Benjamin I. P. Rubinstein [2010]
Reinforcement Learning in Large or Unknown MDPs
Ambuj Tewari [2007]