AMS :: 2024 Fall Central Sectional Meeting, AMS Special Session

AMS Sectional Meeting AMS Special Session

Current as of Sunday, September 22, 2024 03:30:04

Saturday September 14, 2024, 9:30 a.m.-11:00 a.m.
Special Session on Machine Learning, Data Science and Related Fields I
McKinney 2.02.10, McKinney Humanities Building
Organizers:
Hansapani Rodrigo, The University of Texas Rio Grande Valley hansapani.rodrigo@utrgv.edu
Lakshmi Roychowdhury, University of Texas Rio Grande Valley
Mrinal Kanti Roychowdhury, University of Texas Rio Grande Valley
- 9:30 a.m.
  Statistical Inference for Policy Evaluation in Reinforcement Learning
  Alessandro Rinaldo*, Department of Statistics and Data Science - The University of Texas at Austin
  (1198-62-36722)
- 10:00 a.m.
  Theory on Mixture-of-Experts in Continual Learning
  Sen Lin*, University of Houston
  (1198-68-36769)
- 10:30 a.m.
  Wassmap: Manifold learning in the Wasserstein space
  Keaton Hamm*, University of Texas at Arlington
  (1198-68-36922)

Saturday September 14, 2024, 3:00 p.m.-5:00 p.m.
Special Session on Machine Learning, Data Science and Related Fields II
McKinney 2.02.10, McKinney Humanities Building
Organizers:
Hansapani Rodrigo, The University of Texas Rio Grande Valley hansapani.rodrigo@utrgv.edu
Lakshmi Roychowdhury, University of Texas Rio Grande Valley
Mrinal Kanti Roychowdhury, University of Texas Rio Grande Valley
- 3:00 p.m.
  On Excess Mass Behavior in Gaussian Mixture Models with (Orlicz) Wasserstein Distances
  Nhat Pham Minh Ho*, The University of Texas, Austin
  (1198-62-36949)
- 3:30 p.m.
  Enhancing Clinical Outcomes: AI Decision Support Systems in Healthcare
  Xuan Wang*, The University of Texas Rio Grande Valley
  (1198-10-37135)
- 4:00 p.m.
  Data-Driven Survival Modeling for Breast Cancer Prognostics: A Comparative Study with Machine Learning and Traditional Survival Modeling Methods
  Theophilus Gyedu Baidoo, University of Texas Rio Grande Valley
  Hansapani Rodrigo*, The University of Texas Rio Grande Valley
  (1198-62-37395)
- 4:30 p.m.
  Quantization
  Mrinal Kanti Roychowdhury*, School of Mathematical and Statistical Sciences, University of Texas Rio Grande Valley
  (1198-37-37378)

Sunday September 15, 2024, 8:30 a.m.-11:00 a.m.
Special Session on Machine Learning, Data Science and Related Fields III
McKinney 2.02.10, McKinney Humanities Building
Organizers:
Hansapani Rodrigo, The University of Texas Rio Grande Valley hansapani.rodrigo@utrgv.edu
Lakshmi Roychowdhury, University of Texas Rio Grande Valley
Mrinal Kanti Roychowdhury, University of Texas Rio Grande Valley
- 8:30 a.m.
  Functional data learning using convolutional neural networks
  Jose De Jesus Galarza*, The University of Texas Rio Grande Valley
  Tamer Oraby, The University of Texas Rio Grande Valley
  (1198-68-37322)
- 9:00 a.m.
  Image Classification using Principal Component Analysis
  Ankush Goswami*, University of Texas Rio Grande Valley
  (1198-62-37500)
- 9:30 a.m.
  Predictive Modeling of Greenhouse Gas Emissions in Freshwater Aquaculture
  Maria Camila Mejia Garcia*, University of Texas Rio Grande Valley
  (1198-68-37518)
- 10:00 a.m.
  Bayesian Inference for Deep Learning
  Ricardo Reyna*, University of Texas Rio Grande Valley
  (1198-68-37591)
- 10:30 a.m.
  Mapping Multiphase Multicomponent Mixtures via Neural Networks
  Jason Bernstein, Lawrence Livermore National Laboratory
  Kristen Lee Hallas*, The University of Texas Rio Grande Valley
  Philip Myint, Lawrence Livermore National Laboratory
  (1198-62-37615)