Instance-dependent Optimality in Statistical Decision-making
Wenlong Mou [2023]

Performative Prediction: Theory and Practice
Juan Perdomo [2023]

Recent Developments in Robust Statistics
Yeshwanth Cherapanamjeri [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]