JSM2023
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Cheryl Brooks

AT&T Data Science and AI Research
18 appearances in the program

Sessions & presentations

Challenges in Data Science: Missing, Noisy and Imbalanced Data
Contributed Papers · Sun, Aug 6 , 2:00 PM
Participant
Statistical Learning in Healthcare
Contributed Papers · Sun, Aug 6 , 2:00 PM
Participant
Functional Data Analysis
Contributed Papers · Sun, Aug 6 , 4:00 PM
Participant
Transfer and Reinforcement Learning
Contributed Papers · Mon, Aug 7 , 8:30 AM
Chair
Advances in Regularization Methods
Contributed Papers · Mon, Aug 7 , 10:30 AM
Participant
Recent Developments and Analysis of Deep Learning Methods
Contributed Papers · Mon, Aug 7 , 10:30 AM
Participant
Network Data Analysis: Applications and Methods
Contributed Papers · Mon, Aug 7 , 2:00 PM
Participant
Advances in Statistical Inference
Contributed Papers · Tue, Aug 8 , 8:30 AM
Participant
High-Dimensional Data Analysis
Contributed Papers · Tue, Aug 8 , 8:30 AM
Participant
Methods for Time Series and Longitudinal Data
Contributed Papers · Tue, Aug 8 , 2:00 PM
Participant
Applications in Statistical Learning and Data Science
Contributed Papers · Wed, Aug 9 , 8:30 AM
Participant
Recent Developments in Hypothesis Testing
Contributed Papers · Wed, Aug 9 , 8:30 AM
Participant
Advances in Machine Learning
Contributed Papers · Wed, Aug 9 , 10:30 AM
Participant
Recent Developments in Causal Inference
Contributed Papers · Wed, Aug 9 , 10:30 AM
Participant
Techniques for Dimensionality Reduction
Contributed Papers · Wed, Aug 9 , 2:00 PM
Participant
Statistical Learning Theory
Contributed Papers · Thu, Aug 10 , 8:30 AM
Participant
Theory and Methods for Variable Selection
Contributed Papers · Thu, Aug 10 , 8:30 AM
Participant
Statistical Learning and Data Science: Methods and Applications
Contributed Papers · Thu, Aug 10 , 10:30 AM
Participant
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