• Sequential confidence intervals for relative lift with regression adjustments, CODE 2022

  with Evan Miller

• The Virtual Warehouse: countering spillover effects and experimenting with inventory constraints, CODE 2020

  with Greg Novak and Dave Spiegel

• Optimal Testing in the Experiment-rich Regime, AISTATS 2019, presented at a ICML 2018 workshop.

  with Virag Shah and Ramesh Johari

• Learning with Abandonment, ICML 2018, presented at a NIPS 2017 workshop, INFORMS 2017, Baylearn 2017.

  with Ramesh Johari [slides]

• Human Interaction with Recommendation Systems: On Bias and Exploration, AISTATS 2018, invited talk INFORMS 2016

  with Carlos Riquelme. [arXiv]

• Mean Field Analysis of Multi-Armed Bandit Games, pre-print

  with Ramki Gummadi, Ramesh Johari, and Jia Yuan Yu.

• Learning Multifractal Structure in Large Networks, KDD 2014

  with Austin Benson and Carlos Riquelme. [arXiv]

• Silent error detection in numerical time-stepping schemes, IJHPC

  with Austin Benson and Rob Schreiber. [arXiv]