Back to the program

Topic-Contributed Paper Session

SLDS Student Paper Awards

Mon, Aug 3, 2:00 PM - 3:50 PM Room CC-253C Thomas M. Menino Convention & Exhibition Center

Yang NingOrganizerRunze LiOrganizerYang NingChair

Section on Statistical Learning and Data Science co: No Additional Sponsorco: No Additional Sponsor

6 Presentations

"Causal Inference with High-Dimensional Treatments"

2:05 PM - 2:20 PM

Co-authors: Edward Kennedy, Isaac Opper

"Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length"

2:20 PM - 2:35 PM

Co-authors: Yuqi Gu (Columbia University), Yixin Wang

Large language models Chain of thought Item response theory Identifiability Stochastic Approximation

"Representation Learning with Blockwise Missingness and Signal Heterogeneity"

2:35 PM - 2:50 PM

Ziqi Liu (Carnegie Mellon University)

Co-authors: Ye Tian (Yale University, Department of Biostatistics), Weijing Tang (Carnegie Mellon University)

Beyond Data Splitting: Full-Data Conformal Prediction by Differential Privacy"

2:50 PM - 3:05 PM

Co-authors: Jordan Awan (Purdue University)

Conformal prediction Differential privacy Uncertainty quantification Algorithmic stability Data efficiency Computational efficiency

Contextual Online Uncertainty-Aware Preference Learning for Human Feedback

3:05 PM - 3:20 PM

Nan Lu (Harvard T.H. Chan School of Public Health)

Co-authors: Ethan Lee (Harvard T.H. Chan School of Public Health), Ethan Fang (Duke University), Junwei Lu (Harvard T.H. Chan School of Public Health)

Discrete Causal Representation Learning

3:20 PM - 3:35 PM

Co-authors: Yuqi Gu (Columbia University), Yixin Wang

Causal representation learning Discrete latent variables Causal discovery Identifiability Graphical models

↑