JSM2026
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Elynn Chen

New York University
5 appearances in the program

Sessions & presentations

Statistical Innovations for Heterogeneous and High-Dimensional Data
Presentation: Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection
Invited Paper Session · Thu, Aug 6 , 10:30 AM
Speaker
Frontiers in generative AI, time series, and probabilistic deep learning
Topic-Contributed Paper Session · Thu, Aug 6 , 8:30 AM
Organizer
Frontiers in generative AI, time series, and probabilistic deep learning
Presentation: Quantifying Epistemic Uncertainty in Diffusion Models for Time Series
Topic-Contributed Paper Session · Thu, Aug 6 , 8:30 AM
Co-Author
Dynamics at Scale: Statistical Frontiers in High-Dimensional and Streaming Time Series
Invited Paper Session · Mon, Aug 3 , 8:30 AM
Organizer
Transfer Learning through Empirical Risk Minimization
Presentation: Deep Transfer Q-Learning for Offline Non-Stationary Reinforcement Learning
Contributed Papers · Tue, Aug 4 , 4:00 PM
Co-Author