Student Research Poster Day
We invite all students (Stat and CAM) and faculty to the Student Research Poster Day event hosted by the Committee on Community, Equity, Diversity, and Inclusion (CCEDI). Selected student research posters will be installed in Jones 303 from 4:00 pm to 5:00 pm on February 27, and everyone is welcome to come and look around; light snacks will be provided!
Call for posters
We invite submissions of all research posters from Stat and CAM students. There is no restriction on the topic; you are welcome to submit any research work done during your graduate program (Stat/CAM, PhD/MS) though we suggest submitting recent research. There will be awards with prizes for the best posters.
Please submit your poster proposal by February 1 through https://forms.office.com/r/mC60sNFiji (UChicago sign-in required). We will announce the selected proposals on February 2. Once your proposal is selected, you should email your final poster by February 26. We will print and install posters for you; we will cover the printing cost.
Please email firstname.lastname@example.org if you have any questions.
Please check out the event websites.
Posters on display
|Quantum State Tomography via Tensor Ring Representation
|Batched Nonparametric Contextual Bandit
|Bayesian Optimization with Noise-Free Observations: Improved Regret Bounds via Random Exploration
|Conformal prediction after efficiency-oriented model selection
|Recovery of High Dimensional Noisy Curves
|Numerical Approaches to Understanding Flexural Wave Scattering in Sea Ice and Ice Shelves
|Depth Separation in Learning via Representation Costs
|Nonparametric Estimation via Variance-Reduced Sketching
|Leveraging topological constraints to accelerate spontaneous electric polarization calculations
|Group Weighted Conformal Prediction
|Gaussian approximations for non-stationary and multiple time series with applications in Synchronization Testing
|Aggregating Dependent Signals with Heavy-Tailed Combination Tests
|Conformalized matrix completion
|The Allocore Tensor Decomposition for Sparse Count Data
|Distribution free conditional predictive inference: randomization enables robust guarantees.
|Yeo Jin Jung
|Topic Modeling for Spatially Coherent Documents
|Online Covariance Matrix Estimation in Stochastic Inexact Newton Methods
|Debiased Differential Network Estimator via Kendall’s Tau for Transelliptical Graphical Models
|The Linear Representation Hypothesis and the Geometry of Large Language Models
|Subspace method of moments for ab-initio Cryo-EM reconstruction
|Top-K ranking with a monotone adversary