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08/20/2023
An Exact Sampler for Inference after Polyhedral Model Selection
Inference after model selection presents computational challenges when d...
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05/18/2023
Joint BS Mode Selection and Beamforming Design for Cooperative Cell-Free ISAC Networks
Owing to the promising ability of saving hardware cost and spectrum reso...
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01/15/2023
Selective Inference with Distributed Data
Nowadays, big datasets are spread over many machines which compute in pa...
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12/26/2022
Conditional Quasi-Monte Carlo with Constrained Active Subspaces
Conditional Monte Carlo or pre-integration is a useful tool for reducing...
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03/28/2022
Black-box Selective Inference via Bootstrapping
We propose a method for selective inference after a model selection proc...
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02/06/2022
Pre-integration via Active Subspaces
Pre-integration is an extension of conditional Monte Carlo to quasi-Mont...
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08/30/2021
Statistical Challenges in Tracking the Evolution of SARS-CoV-2
Genomic surveillance of SARS-CoV-2 has been instrumental in tracking the...
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04/07/2021
Quasi-Newton Quasi-Monte Carlo for variational Bayes
Many machine learning problems optimize an objective that must be measur...
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12/02/2020
Global and Individualized Community Detection in Inhomogeneous Multilayer Networks
In network applications, it has become increasingly common to obtain dat...
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10/01/2020
WeChat Neural Machine Translation Systems for WMT20
We participate in the WMT 2020 shared news translation task on Chinese t...
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05/01/2020
How to reduce dimension with PCA and random projections?
In our "big data" age, the size and complexity of data is steadily incre...
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02/03/2020
Limiting Spectrum of Randomized Hadamard Transform and Optimal Iterative Sketching Methods
We provide an exact analysis of the limiting spectrum of matrices random...
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01/31/2020
p-Value as the Strength of Evidence Measured by Confidence Distribution
The notion of p-value is a fundamental concept in statistical inference ...
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10/06/2019
Ridge Regression: Structure, Cross-Validation, and Sketching
We study the following three fundamental problems about ridge regression...
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10/14/2018
A New Theory for Sketching in Linear Regression
Large datasets create opportunities as well as analytic challenges. A re...
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08/05/2018
Error Detection in a Large-Scale Lexical Taxonomy
Knowledge base (KB) is an important aspect in artificial intelligence. O...
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06/11/2018
