Posts about papers, events, news, and more
Rasika K. Balasuriya presents optimal stopping through an interactive card game on November 3, 2026.
Yuchen Liang presents efficient sampling and tail-risk control for inference-time alignment of diffusion models.
Maxine Yu will present SymmPI, a unified predictive-inference methodology for machine learning data with general group symmetries and observation models.
Didong Li will present recent theoretical, methodological, and data-infrastructure directions for statistics in the age of artificial intelligence.
A Special Issue of Mathematics welcomes research on advanced statistical inference for complex data. Manuscripts are due July 31, 2027.
Xingche Guo will present MoFI-FLR, an RKHS-based framework for model-form identification in high-dimensional functional linear regression.
Chao Cheng will present identification and multiply robust estimators for causal mediation analysis across principal strata.
Jordan Bryan will discuss nonlinear estimators that use endmember variance information to improve spectral unmixing.
Honglang Wang will lead a workshop on conducting research with AI while preserving expert judgment and verification.
Caihong Qin will present a shared-basis neural-network approach to subject-specific density estimation.
Yishan Cui successfully defended his thesis.
We will have journal club in spring 2025 focusing on large language models.
Nice course projects for statistical computing and applied linear regression.
Ran Mo successfully defended his thesis.
Honglang Wang will present the work on Dominant-Set Based Clustering For Functional Data