Thursday, November 2 Friday, November 3 2:30 pm – 3:00 pm Registration & Welcome Opening Remarks: Matias Cattaneo 3:00 pm – 3:40 pm Isaiah Andrews Bootstrap Diagnostics for Irregular Estimators 3:40 pm – 4:20 pm Michael Mahoney Model Selection And Ensembling When There Are More Parameters Than Data 4:20 pm – 4:40 pm Coffee Break 4:40 pm – 5:20 pm Yury Polyanskiy Likelihood-free hypothesis testing 5:20 pm – 6:00 pm Jerry Li A Theory for Quantum Learning in the NISQ Era 7:00 pm Conference Dinner 8:30 am – 9:00 am Continental Breakfast 9:00 am – 9:40 am Cynthia Rush The out-of-sample prediction error of the square-root lasso and related estimators 9:40 am – 10:20 am Yue Lu Understanding the Universality Phenomenon in High-Dimensional Estimation and Learning: Some Recent Progress 10:20 am – 10:40 am Coffee Break 10:40 am – 11:20 am Yuting Wei Approximate message passing: A non-asymptotic framework and beyond 11:20 am – 12:00 pm Junwei Lu Ranking Inference for Human Feedback Tuning in Large Language Models 12:00 pm – 1:30 pm Conference Lunch 1:30 pm Group Photo 2:00 pm – 2:40 pm Jacob Bien Generalized Data Thinning Using Sufficient Statistics 2:40 pm – 3:20 pm Elynn Chen Transferred Q-learning 3:20 pm – 3:40 pm Coffee Break 3:40 pm – 4:20 pm Ilias Diakonikolas Provably learning neural networks 4:20 pm – 5:00 pm Cris Moore Tensor Networks, Phase transitions, and Algorithms 5:00 pm Coffee Break & Conference Conclusion Closing Remarks: Jianqing Fan