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CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme
Activity Details
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244
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Tue, 8/9/2022,
8:30 AM -
10:20 AM
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CC-204A
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Advances in Statistical Machine Learning — Contributed Papers
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IMS
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Chair(s): Yimei Li, University of Pennsylvania
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8:35 AM
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Benign Overfitting Without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data
Spencer Frei, University of California, Berkeley; Niladri Chatterji, Stanford University; Peter L. Bartlett, University of California, Berkeley
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8:50 AM
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On Well-Posedness and Minimax Optimal Rates of Nonparametric Q-Function Estimation in Off-Policy Evaluation
Zhengling Qi, George Washington University
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9:05 AM
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Perturbation Analysis of Randomized SVD and Its Applications to High-Dimensional Statistics
Yichi Zhang, North Carolina State University; Minh Tang, North Carolina State University
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9:20 AM
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High-Dimensional Random Forests
ROLAND FIAGBE, UNIVERSITY OF CENTRAL FLORIDA
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9:35 AM
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Electricity Consumption Forecasting by a New Neural Network Model: Panel Semiparametric Quantile Regression Neural Network (PSQRNN)
Jiangyan Wang, Nanjing Audit University; Xingcai Zhou, Nanjing Audit University; Hongxia Wang, Nanjing Audit University; Jinguan Lin, Nanjing Audit University
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9:50 AM
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Noise Covariance Estimation in Multi-Task High-Dimensional Linear Models
Kai Tan, Rutgers University; Pierre C Bellec, Rutgers University
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10:05 AM
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Distribution-Free Prediction Sets Adaptive to Unknown Covariate Shift
Hongxiang Qiu, University of Pennsylvania Dept of Statistics; Edgar Dobriban, University of Pennsylvania; Eric J Tchetgen Tchetgen, University of Pennsylvania
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