ASA Statistical Learning and Data Science

Lihua Lei Compound Selection Decisions An Almost SURE Approach

ASA Statistical Learning and Data Science

Zhuoran Yang How Do Transformers Learn to Implement Algorithms

ASA Statistical Learning and Data Science

Glen Wright Colopy The AI Train Has Not Left the Station. But You Do Need to Step on Board

ASA Statistical Learning and Data Science

Harrison Zhou From Score Estimation to Sampling

ASA Statistical Learning and Data Science

Jiwei Zhao Estimation and Inference in Unsupervised Domain Adaptation

ASA Statistical Learning and Data Science

Jiancong Xiao and Xiang Li LLM Training and Coding for Statistical Learning and Data Science

ASA Statistical Learning and Data Science

Liza Levina Towards Interpretable and Trustworthy Network-Assisted Prediction

ASA Statistical Learning and Data Science

Haoda Fu Open Research Problems for Statistical Learning and Data Science

ASA Statistical Learning and Data Science

Giles Hooker Trees and V’s Inference for Ensemble Models

ASA Statistical Learning and Data Science

Naomi Brownstein Clusterability Testing The What, Why and How

ASA Statistical Learning and Data Science

Bethany Wolf Variable Importance Measures for Interpretable Machine Learning

ASA Statistical Learning and Data Science

Hao Helen Zhang Building Data Science Teams

ASA Statistical Learning and Data Science

Jean Feng Variable selection and architecture search for neural networks

ASA Statistical Learning and Data Science

Byron Jaeger Happier version control with Git and GitHub

ASA Statistical Learning and Data Science

Wayne Lee Data Science Outside of Tech

ASA Statistical Learning and Data Science

Andreas Ziegler Calibrating Machine Learning Prediction Models

ASA Statistical Learning and Data Science

Sarah Kalicin Developing Successful Career Relationships-Leveraging Mentoring, Coaching,Sponsorship

ASA Statistical Learning and Data Science

Nesime Tatbul Applied Data Science for Predictive Time Series Analytics

ASA Statistical Learning and Data Science

Susan Murphy Reinforcement Learning in the Dyadic Setting

ASA Statistical Learning and Data Science

Peter Song Functional accelerometer data analysis via mixed integer optimization

ASA Statistical Learning and Data Science

Irina Gaynanova Distributional learning for wearable data

ASA Statistical Learning and Data Science

Adel Javanmard Learning from aggregated responses-Improving model utility under privacy constraints

ASA Statistical Learning and Data Science

Song Mei Revisiting neural network approximation theory in the age of generative AI

ASA Statistical Learning and Data Science

Weijie Su How Statistics Can Advance Large Language Models Fairness Alignment and Watermarking

ASA Statistical Learning and Data Science

Nathaniel O’Connell A Comparison of Methods of Cross-Validation for Small Data

ASA Statistical Learning and Data Science

Runze Li High-Dimensional Statistical Inference

ASA Statistical Learning and Data Science

Jing Lei Winners with Confidence Discrete Argmin Inference with an Application to Model Selection

ASA Statistical Learning and Data Science

Emmanuel Candès Statistical methods for assessing the factual accuracy of large language models

ASA Statistical Learning and Data Science

Bikram Karmakar A new paradigm for causal inference in the presence of unmeasured confounders

ASA Statistical Learning and Data Science

Bei Jiang Online Local Differential Private Quantile Inference

ASA Statistical Learning and Data Science