Advances in Statistical Machine Learning

Sun, Aug 6, 2:00 PM

Robert LundeChair

IMS

6 Presentations

Adapting to failure of the IID assumption

2:05 PM - 2:20 PM

Jeffrey Negrea

Co-authors: Blair Bilodeau (University of Toronto), Daniel Roy (University of Toronto), Francesco Orabona (Boston University), Nicolò Campolongo (Spanflug)

Discovery of Small Dense Topological Features from Dataset

2:20 PM - 2:35 PM

Chunyin Siu

Co-authors: Gennady Samorodnitsky (Cornell University), Christina Lee Yu (School of Operations Research and Information Engineering, Cornell University), Andrey Yao (Department of Mathematics)

Extrapolated cross-validation for randomized ensembles

2:35 PM - 2:50 PM

Jin-Hong Du

Co-authors: Pratik Patil (University of California, Berkeley), Kathryn Roeder (Carnegie Mellon University), Arun Kuchibhotla (Carnegie Mellon University)

Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes

2:50 PM - 3:05 PM

Rui Miao (University of California, Irvine)

Co-authors: Zhengling Qi, Xiaoke Zhang (George Washington University)

WITHDRAWN Supervised Topic Modeling: Optimal Estimation and Statistical Inference

3:05 PM - 3:20 PM

Co-authors: Ruijia Wu, Linjun Zhang (Rutgers University), Tony Cai (University of Pennsylvania)

Using a machine learning approach to examine COVID-19 vaccine confidence among children in the U.S.

3:20 PM - 3:35 PM

Yi Mu

Co-authors: Laurie Elam-Evans (CDC), Tammy Santibanez, Kushagra Vashist (CDC), James Singleton (CDC)

Session participants

Debashis Mondal (Washington University in St Louis)

Participant