Each year, SLDS hosts a student paper competition. Submission deadlines are typically December-January. Winners are announced in January, and awards are presented at the annual Joint Statistical Meetings. Details can be found on our announcements page.
The SLDS Student Paper Competition is Chaired by Irina Gaynanova (Department of Statistics, Texas A&M University).
Please see our announcement page for details on this year's competition!
Student Paper Award Winners (in alphabetical order):
Name |
Affiliation |
Paper Title |
Rungang Han |
University of Wisconsin-Madion |
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit |
Peter MacDonald |
University of Michigan |
Latent space models for multiplex networks with shared structure |
Tudor Manole |
Carnegie Mellon University |
Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure |
Weijing Tang |
University of Michigan |
Population-level Balance in Signed Networks: A Latent Space Approach |
Sheng Zhang |
North Carolina State University |
Distributed Community Detection in Large Networks |
Honorable Mentions (in alphabetical order):
Name |
Affiliation |
Paper Title |
Stefan Stein |
University of Warwick |
A Sparse Beta Model with Covariates for Networks |
Xiaoqing Tan |
University of Pittsburgh |
A Tree-based Federated Learning Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources |
Previous winners are listed below:
2020 Winners
Student Paper Award Winners: |
|
Name |
Affiliation |
Paper Title |
Lucy Gao |
University of Washington |
Testing for Association in Multi-View Network Data |
Weibin Mo |
University of North Carolina at Chapel Hill |
Learning Optimal Distributionally Robust Individualized Treatment Rules |
Ilmun Kim |
Carnegie Mellon University |
Classification accuracy as a proxy for two-sample testing |
Yiliang Zhang |
University of Pennsylvania |
High-Dimensional Nonparametric Density Estimation via Max-Random Forest |
Xu Wang |
University of Washington |
Statistical Inference for Networks of High-Dimensional Point Processes |
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Honorable Mention: |
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Kenneth Tay |
Stanford University |
Reluctant additive modeling |
Yinyin Chen |
University of Illinois at Urbana-Champaign |
Learning Topic Models: New Results on Identifiability and Consistency |
2019 Winners
Student Paper Winners |
|
|
Name |
Affiliation |
Paper Title |
Yao Chen |
Purdue University |
Nonlinear Variable Selection via Deep Neural Networks |
Zhengling Qi |
University of North Carolina Chapel Hill |
Estimating Individualized Decision Rules with Tail Controls |
Michael Weylandt |
Rice University |
Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization |
Yubai Yuan |
University of Illinois Urbana-Champaign |
Community Detection with Dependent Connectivity |
Yunfeng Zhang Texas |
A&M University |
Joint association and classification analysis of multi-view data |
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Honorable Mention |
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Jingyi Kenneth Tay |
Stanford University |
Principal component-guided sparse regression |
2018 Winners
Winner |
|
Affiliation |
|
Paper Title |
Boang Liu |
|
University of Michigan |
|
Network augmented classification |
Hyebin Song |
|
University of Wisconsin |
|
PULasso: High-dimensional variable selection with presence-only data |
Shuxiao Chen |
|
Cornell University |
|
Valid Inference Corrected for Outlier Removal |
Fei Xue |
|
University of Illinois at Urbana-Champaign |
|
Variable Selection for Highly Correlated Predictors |
Jean Feng |
|
University of Washington |
|
Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification |
2017 Winners
Winner |
|
Affiliation |
|
Paper Title |
Jianyu Liu |
|
The University of North Carolina at Chapel Hill |
|
Graph-based Sparse Linear Discriminant Analysis for High Dimensional Classification |
Xin Qiu |
|
Columbia University |
|
Composite Interaction Tree for Robust Learning of Optimal Individualized Treatment Rules and Identifying Subgroups |
Lauren N. Spirko |
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Temple University |
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Variable Selection for Large-Scale Genomic Data with Censored Survival Outcomes |
Xiwei Tang |
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University of Illinois Urbana-Champaign |
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Individualized Multilayer Tensor Learning with An Application in Imaging Analysis |
Yichen Zhang |
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New York University |
|
Statistical Inference for Model Parameters in Stochastic Gradient Descent |
2016 Winners
Winner |
|
Affiliation |
|
Paper Title |
Xuan Bi
|
|
University of Illinois at Urbana-Champaign |
|
A Group-Specific Recommender System |
Boxiang Wang
|
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University of Minnesota |
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Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS |
Kevin Lee
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Pennsylvania State University |
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Model-Based Clustering for Large Scale Dynamic Networks |
Hongyu Yang
|
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Massachusetts Institute of Technology |
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Scalable Rule Lists For Building Logical Classifiers |
Yang Ni
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Rice University |
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Sparse Multi-dimensional Graphical Models: A Unified Bayesian Framework |