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2024 Bohrer Workshop in Statistics

Event Type
Conference/Workshop
Sponsor
Department of Statistics
Location
I-Hotel Conference Center
Date
Apr 20, 2024   All Day
Views
417
Originating Calendar
Department of Statistics Event Calendar

9:30 - 9:50 breakfast
9:50 - 10:00 opening remarks
10:00 - 10:50 Paper Session I

  • Linjun Huang, Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow
  • Peng Xu, Generative Quantum Machine Learning via Denoising Diffusion Probabilistic Models
  • Zhiyuan Yu, Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold
  • Kaihong Zhang, Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions


10:50 - 11:00 break

11:00 - 12:00 Wijsman Lecture

  • Bodhisattva Sen, Extending the Scope of Nonparametric Empirical Bayes


12:00 - 1:00 lunch

1:00 - 1:50 Paper Session II

  •  Arghya Chakraborty, Testing for Adverse Events in Post-marketing Surveillance
  • ByeongJip Kim, A Hypothesis Testing for the Comparison of Two Multi-layer Networks: a Kernel-based Approach 
  • Sophie Larsen, Immune history influences SARS-CoV-2 booster impacts: the role of efficacy and redundancy
  • Theren Williams, A Study on Restricted HMMs for Latent Class Attribute Transitionse


1:50 - 2:00 break

2:00 - 2:50 Paper Session III

  • David Kim, Asymptotic Valid Permutation Test in Strongly Mixing Conditions
  • Heman Leung, Online GMM for Time Series
  • Yi Zhang, Another look at bandwidth-free inference: a sample splitting approach


2:45 - 3:00 break

3:00 - 3:50 Norton Session

  • Hanjia Gao, Statistical Inference for Time Series via Sample Splitting
  • Rentian Yao, Optimization over probability distributions with proximal gradient descent


3:50 - 4:00 break

4:00 - 5:00 Bohrer Lecture

  • Judy Wang, Flexible Probabilistic Prediction for Non-Gaussian Spatial Processes
     

5:00 - 6:00 Award Presentations and Poster Session

6:00 - 8:00 Dinner

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