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09/14/2023
Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing
Key challenges in running a retail business include how to select produc...
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10/09/2022
QuTE: decentralized multiple testing on sensor networks with false discovery rate control
This paper designs methods for decentralized multiple hypothesis testing...
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01/21/2022
Optimal variance-reduced stochastic approximation in Banach spaces
We study the problem of estimating the fixed point of a contractive oper...
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07/05/2021
Near-optimal inference in adaptive linear regression
When data is collected in an adaptive manner, even simple methods like o...
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08/28/2020
ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm
The theory and practice of stochastic optimization has focused on stocha...
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09/03/2019
A Diffusion Process Perspective on Posterior Contraction Rates for Parameters
We show that diffusion processes can be exploited to study the posterior...
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02/01/2019
Challenges with EM in application to weakly identifiable mixture models
We study a class of weakly identifiable location-scale mixture models fo...
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10/01/2018
Singularity, Misspecification, and the Convergence Rate of EM
A line of recent work has characterized the behavior of the EM algorithm...
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02/21/2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
We introduce instancewise feature selection as a methodology for model i...
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06/30/2016
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness
The aggregation and denoising of crowd labeled data is a task that has g...
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12/17/2014
