Program

Program at a glance

Detailed Program

2024 Conference of ASA Section on Statistical Learning and Data Science (SLDS)

Hyatt Regency Newport Beach, CA

Nov 05-08, 2024

Tuesday, 11/5/24

1pm-5pm: Short Course: Deep Learning in Statistics

Location: UCI Campus -- DBH 6011 (https://classrooms.uci.edu/classrooms/dbh/)

Instructors: Annie Qu (UC Irvine), Xiao Wang (Purdue), Edgar Dobriban (Upenn)

6-8pm: Reception

Location: UCI Campus, Donald Bren Hall (DBH), Room 6011 (and the adjacent roof patio). 

See the conference website for location details. 

Wednesday, 11/6/24

7:30am-8:30am: Breakfast and Check-In

Location: Plaza Arbor 

8:30am-9am: Opening remarks

Location: Plaza Ballroom I

Parallel Session 1: 9:30am-11am, Wednesday, 11/6/24

Invited Session: Interplay of deep learning and statistics

Location: Plaza Ballroom I

Organizer: Jiwei Zhao

Chair: Jiwei Zhao

Speakers: Qi Long, Anru Zhang, Zhonghua Liu, Keith Levin

Invited Session: Statistical learning in clinical trials and biomedical studies

Location: Plaza Ballroom II

Organizer: Weining Shen

Chair: Tianchen Qian

Speakers: Yong Zang, Ruitao Lin, Muxuan Liang, Tianyu Pan

Invited Session: Advances in Statistical Modeling and Causal Inference for Complex Data

Location: Plaza Ballroom III

Organizer: Shizhe Chen

Chair: Xiudi Li

Speakers: Guo Yu, Waverly Wei, Yidong Zhou, Xiao Hui Tai

Invited Session: Breakthroughs in Change Point Detection for Complex Data

Location: Patio Room 

Organizer: Paromita Dubey

Chair: Arkajyoti Saha

Speakers: Xianyang Zhang, Oscar Hernan Madrid Padilla, Paromita Dubey, Tingnan Gong

11am-Noon: Coffee break

Noon-1:30: Lunch break

Parallel Session 2: 1:30pm-3pm, Wednesday, 11/6/24

Invited Session: Recent Advances in Statistical Network Analysis

Location: Plaza Ballroom I

Organizer: Keith Levin

Chair: Keith Levin

Speakers: Jinchi Lv, Xin Tong, Peter MacDonald, Michael Schweinberger

Invited Session: Recent Advances in Causal Inference and Sequential Decision Making

Location: Plaza Ballroom II

Organizer: Tianchen Qian

Chair: Wenzhuo Zhou

Speakers: Anna Trella, Jiaxin Yu, Charlotte Fowler, Tianchen Qian

Invited Session: Statistics and Data Science in Responsible AI

Location: Plaza Ballroom III

Organizer: Cheryl Brooks

Chair: Paromita Dubey

Speakers: Aritra Guha, Hengzhi He, Waverly Wei, Xiang Li

Invited Session: Analysis of High Dimensional Data with Complex Structure

Location: Patio Room

Organizer: Abolfazl Safikhani

Chair: George Michailidis

Speakers: Honglang Wang , Haixiao Wang, Yuchen Xu

3pm-3:30pm: Break with refreshments

Location: Plaza Arbor

Parallel Session 3: 3:30pm-5pm, Wednesday, 11/6/24

 Invited Session: Semiparametric learning

Location: Plaza Ballroom I

Organizer: Jiwei Zhao

Chair: Quefeng Li

Speakers: Yang Ning, Shujie Ma, Pawel Morzywolek, Jiwei Zhao

Invited Session: Advances in high-dimensional graphical modeling

Location: Plaza Ballroom II

Organizer: Xiudi Li

Chair: Shizhe Chen

Speakers: Xiudi Li, Mladen Kolar, Jose Sanchez Gomes, Ali Shojaie

Invited Session: New advancement in machine learning and applications

Location: Plaza Ballroom III

Organizer: Hao Helen Zhang

Chair: Hao Helen Zhang

Speakers: Linbo Wang, Zhe Fei, Hao Helen Zhang

5pm-8pm: Poster session and reception

Location: Plaza Arbor 

Thursday, 11/7/24

8:30am-9:30am: Keynote Presentation 

Location: Plaza Ballroom I

Speaker: Roman Vershynin

9:30am-10am: Break with refreshments

Location: Plaza Arbor

Parallel Session 4: 10am-11:30am, Thursday, 11/7/24

Invited Session: Data-Driven Decision Making: prediction vs inference

Location: Plaza Ballroom I 

Organizer: Jelena Bradic

Chair: Jelena Bradic

Speakers: Cong Ma, Lihua Lei, Adityanand Guntuboyina, Gourab Mukherjee

Invited Session: Model Assessment, Explainability, and Validation

Location: Plaza Ballroom II

Organizer: Yoonkyung Lee

Chair: Kellie Archer

Speakers: Yongchan Kwon, Haozhen Yu, Arnab Auddy, Hengrui Luo

Invited Session: Machine learning for data integration

Location: Plaza Ballroom III

Organizer: Ali Shojaie

Chair: Ali Shojaie

Speakers: Irina Gaynanova, Zaid Harchaoui, Jing Ma

Invited Session: Statistical Machine Learning for Experimentation, Estimation, and Learning

Location: Pation Room

Organizer: Jelena Bradic

Chair: Yuchen Xu

Speakers: Shuangning Li, Jacob Bien, Pragya Sur, Jelena Bradic

11:30am-1pm: Lunch break

Parallel Session 5: 1pm-2:30pm, Thursday, 11/7/24

Invited Session: Methods and Data for High-dimensional Modeling in Medicine

Location: Plaza Ballroom I

Organizer: Kellie Archer

Chair: Liangliang Zhang

Speakers: Amanda Elswick Gentry, Qingxia Chen, Bin Nan, Kellie Archer

Invited Session: Development of statistical machine learning in biomedical studies

Location: Plaza Ballroom II

Organizer: Jiwei Zhao

Chair: Jiwei Zhao

Speakers: Annie Qu, Xiao Wang, Marianthi Markatou, Lan Wang

Invited Session: Advances in modern causal inference

Location: Plaza Ballroom III

Organizer: Mladen Kolar

Chair: Mladen Kolar

Speakers: Dennis Shen, Y. Samuel Wang, Richard Guo

Contributed session: advances in machine learning and data science

Location: Patio Room

Organizer: Ali Shojaie

Chair: Ali Shojaie

Speakers: Chenyin Gao, Shanghong Xie, Shuo-Chieh Huang

2:30pm-3pm: Break with refreshments

Location: Plaza Arbor

Parallel Session 6: 3pm-4:30pm, Thursday, 11/7/24

Invited Session: Statistical models and data science approaches for medical imaging data

Location: Plaza Ballroom I

Organizer: Veronica Berrocal

Chair: Volodymyr Minin

Speakers: Donatello Telesca, Michele Guindani, Xiaotong Shen, Xiwei Tang

Invited Session: Statistical Learning for Biological and Biomedical Data

Location: Plaza Ballroom II

Organizer: Jason Xu

Chair: Jason Xu

Speakers: Hau-Tieng Wu, Aaron Molstad, Jason Xu, Yen-Chi Chen

Invited Session: Statistical and Machine Learning Methods for Data from Wearable and Mobile Devices

Location: Plaza Ballroom III

Organizer: Irina Gaynanova

Chair: Irina Gaynanova

Speakers: Erjia Cui, Walter Dempsey, Srikar Katta, Fei Xue

Invited Session: Statistical Foundations and Inference for Machine Learning

Location: Patio Room

Organizer: Jiaqi Li

Chair: Jiaqi Li

Speakers: Ying Jin, Yiqun Chen, Jiaqi Li, George Michailidis

5:30pm-8:30pm: Banquet 

Location: Plaza Arbor

Friday, 11/8/24

Parallel Session 7: 8am-9:30am, Friday, 11/8/24

Invited Session: Statistical learning for complex data analysis

Location: Plaza Ballroom I

Organizer: Ming Wang

Chair: Ming Wang

Speakers: Xiaofeng Wang, Lijun Zhang, Liangliang Zhang, Jonathan Williams

Invited Session: Statistical machine learning for genomics

Location: Plaza Ballroom II

Organizer: Dylan Cable

Chair: Dylan Cable

Speakers: Keegan Korthauer, Ying Ma, Zhaoxia Yu, Dabao Zhang

Invited Session: Recent advances in distribution shift and data integration

Location: Plaza Ballroom III

Organizer: Jiwei Zhao

Chair: Jiwei Zhao

Speakers: Qinglong Tian, Rong Ma, Quefeng Li, Xiaowu Dai

Invited Session: Statistical learning for data with complex dependence structure

Location: Patio

Organizer: Sayar Karmakar

Chair: Benjamin Roycraft

Speakers: Partha Sarkar, Wanrong Zhi, Arkajyoti Saha, Benjamin Roycraft

9:30am-10am: Break with refreshments

Location: Plaza Arbor

Parallel Session 8: 10am-11:30am, Friday, 11/8/24

Invited Session: Frontiers in Causal Inference and Reinforcement Learning

Location: Plaza Ballroom I

Organizer: Hengrui Cai/Wenzhuo Zhou

Chair: Wenzhuo Zhou

Speakers: Chunlin Li, Yuhua Zhu, Jiayi Wang, Yichen Zhang

Invited Session: Recent Developments of Complex Data Analysis

Location: Plaza Ballroom II

Organizer: Hao Helen Zhang

Chair: Xiaowu Dai

Speakers: Xinping Cui, Xiaoxiao Sun, Jin Zhou, Guanyu Hu

Invited Session: Uncertainty Quantification in Complex Inference Problems

Location: Plaza Ballroom III

Organizer: Jing Lei

Chair: George Michailidis

Speakers: Mikael Kuusela, Lucas Mentch, Peng Wang, Jonathan Williams

11:30am-1 pm: Lunch

Location: Plaza Arbor