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07/04/2023
Separated RoadTopoFormer
Understanding driving scenarios is crucial to realizing autonomous drivi...
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07/01/2023
Hierarchical Pretraining for Biomedical Term Embeddings
Electronic health records (EHR) contain narrative notes that provide ext...
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07/01/2023
Bootstrapping the Cross-Validation Estimate
Cross-validation is a widely used technique for evaluating the performan...
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06/20/2023
XRRmeta: Exact Inference for Random-Effects Meta-Analyses with Rare Events
Meta-analysis aggregates information across related studies to provide m...
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11/27/2022
An Empirical Bayes Approach for Constructing the Confidence Intervals of Clonality and Entropy
This paper is motivated by the need to quantify human immune responses t...
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09/17/2022
Towards Optimal Use of Surrogate Markers to Improve Power
Motivated by increasing pressure for decision makers to shorten the time...
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09/17/2022
Using a Surrogate with Heterogeneous Utility to Test for a Treatment Effect
The primary benefit of identifying a valid surrogate marker is the abili...
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05/04/2022
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
Recently, self-attention mechanisms have shown impressive performance in...
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05/04/2022
Dynamic Sparse R-CNN
Sparse R-CNN is a recent strong object detection baseline by set predict...
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08/07/2021
Towards Discriminative Representation Learning for Unsupervised Person Re-identification
In this work, we address the problem of unsupervised domain adaptation f...
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03/21/2021
Cross-Dataset Collaborative Learning for Semantic Segmentation
Recent work attempts to improve semantic segmentation performance by exp...
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11/29/2020
Exact Inference for Disease Prevalence Based on a Test with Unknown Specificity and Sensitivity
To make informative public policy decisions in battling the ongoing COVI...
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10/19/2020
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling
In many contemporary applications, large amounts of unlabeled data are r...
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12/15/2019
Estimation and Validation of a Class of Conditional Average Treatment Effects Using Observational Data
While sample sizes in randomized clinical trials are large enough to est...
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09/22/2019
IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses
The target of inference in microbiome analyses is usually relative abund...
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08/28/2018
Bounds on the conditional and average treatment effect in the presence of unobserved confounders
The causal effect of an intervention can not be consistently estimated w...
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04/08/2017
Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification
Person re-identification is generally divided into two part: first how t...
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12/29/2016
Communication-efficient Distributed Estimation and Inference for Transelliptical Graphical Models
We propose communication-efficient distributed estimation and inference ...
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10/15/2016
Communication-efficient Distributed Sparse Linear Discriminant Analysis
We propose a communication-efficient distributed estimation method for s...
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02/07/2015