Rising Stars in Machine Learning Workshop 2023

The University of Maryland Center for Machine Learning is hosting an academic workshop featuring our 2023 Rising Stars in Machine Learning at the Brendan Iribe Center for Computer Science and Engineering from November 14–15, 2023. Workshop attendance is by invitation only.

Agenda for Tuesday, November 14, 2023

8–9 a.m.

Breakfast
9–9:30 a.m.

Welcoming Remarks

  • Soheil Feizi, Associate Professor of Computer Science and Chair of the Rising Stars in Machine Learning program
  • Tom Goldstein, Volpi-Cupal Endowed Professor of Computer Science and Director of the UMD Center for Machine Learning
  • Hal Daumé III, Volpi-Cupal Endowed Professor of Computer Science and Director of TRAILS
  • Amitabh Varshney, Professor of Computer Science and Dean of CMNS
  • Rising Stars in Machine Learning Introductions
9:30–10 a.m. Megha Srivastava Ph.D. Candidate, Stanford University "Challenges in Human-AI Interaction for Information-Seeking Tasks"
10–10:30 a.m. Han Shao Ph.D. Candidate, Toyota Technological Institute at Chicago “Trustworthy Machine Learning Under Social and Adversarial Data Sources”
10:30–11 a.m.

Coffee Break
11–11:30 a.m. Wanrong Zhu Ph.D. Candidate, UC Santa Barbara "Towards Collaborative Generative AI for Vision-and-Language Studies"
11:30 a.m.–12 p.m. Laixi Shi Postdoctoral Fellow, Caltech “The Curious Data Price of Distributional Robustness in Reinforcement Learning: Minimax-Optimal Sample Efficiency”
12-1 p.m.

Lunch
1–1:30 p.m. Sanae Lotfi Ph.D. Candidate, New York University “Understanding, Quantifying, and Predicting Generalization in Deep Learning”
1:30–2 p.m. Weijia Shi Ph.D. Candidate, University of Washington "Retrieval-augmented Language Models"
2-2:30 p.m.

Coffee Break
2:30–3 p.m. Yutong Bai Ph.D. Candidate, Johns Hopkins University "Less is More: Unleashing the Power of Pretraining"
3–3:30 p.m. Zhijing Jin Ph.D. Candidate, Max Planck Institute & ETH Zurich "Causal Inference for Robust, Reliable, and Responsible NLP"
3:30-4:15 p.m.

Panel on Career Development

  • Moderator: Soheil Feizi, Associate Professor of Computer Science, UMIACS
  • Marine Carpuat, Associate Professor of Computer Science, UMIACS
  • Hal Daumé III, Volpi-Cupal Endowed Professor of Computer Science, UMIACS
  • Sanghamitra Dutta, Assistant Professor of Electrical and Computer Engineering, UMIACS
  • Furong Huang, Assistant Professor of Computer Science, UMIACS
  • Jia-Bin Huang, Capital One Endowed Associate Professor of Computer Science, UMIACS
4:15-4:30 p.m.

Final Remarks

    Matthias Zwicker, Professor and Chair of Department of Computer Science
4:30-5 p.m.

Dessert

2023 Rising Stars

Megha Srivastava

Doctoral Candidate at Stanford University

"Challenges in Human-AI Interaction for Information-Seeking Tasks"
Personal Page

Han Shao

Doctoral Candidate at Toyota Technological Institute at Chicago

“Trustworthy Machine Learning Under Social and Adversarial Data Sources”
Personal Page

Wanrong Zhu

Doctoral Candidate at The University of California, Santa Barbara

“Towards Collaborative Generative AI for Vision-and-Language Studies”
Personal Page

Laixi Shi

Postdoctoral Fellow at Caltech

"The Curious Data Price of Distributional Robustness in Reinforcement Learning: Minimax-Optimal Sample Efficiency”
Personal Page

Sanae Lotfi

Doctoral Candidate at New York University

“Understanding, Quantifying, and Predicting Generalization in Deep Learning”
Personal Page

Weijia Shi

Doctoral Candidate at the University of Washington

“Retrieval-augmented Language Models”
Personal Page

Yutong Bai

Doctoral Student at Johns Hopkins University

"Less is More: Unleashing the Power of Pretraining"
Personal Page

Zhijing Jin

Doctoral Student at Max Planck Institute and Federal Institute of Technology Zürich

"Causal Inference for Robust, Reliable, and Responsible NLP”
Personal Page
Workshop Sponsors