Publications

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Accelerated Federated Optimization with Quantization

with Yeojoon Youn, and Jacob Abernethy

Oral at Federated Learning Worshop, NeurIPS 2022

ActiveHedge: Hedge meets Active Learning

with Jacob Abernethy, and Venkatesh Saligrama

ICML 2022

Observation Free Attacks on Stochastic Bandits

with Yinglun Xu, and Jacob Abernethy

NeurIPS 2021

Optimal Spend Rate Estimation and Pacing for Ad Campaigns with Budgets

with Jamie Morgenstern, and Okke Schrijvers

Talk at INFORMS Annual Meeeting 2021

Bridging Truthfulness and Corruption-robustness in Multi-Armed Bandit Mechanisms

with Jacob Abernethy, Thodoris Lykouris, and Yinglun Xu

Incentives in Machine Learning, ICML 2020

Learning Auctions with Robust Incentive Guarantees

with Jacob Abernethy, Rachel Cummings, Jamie Morgenstern, and Samuel Taggart

NeurIPS 2019

Accelerated Parallelizable Projection-Free Algorithm for the Nuclear-Norm Ball Constraint

with Jun-kun Wang, and Jacob Abernethy

in submission