11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Data Augmentation for Graph Regression Meng Jiang, Associate Professor, Department of Computer Science and Engineering, University of Notre Dame Abstract: Graph regression...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Learning Multi-Index Models Ilias Diakonikolas, Sheldon B. Lubar Professor, Department of Computer Sciences, University of Wisconsin, Madison Abstract: Multi-index models (MIMs) are...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
A Bayesian semi-parametric model for functional near-infrared spectroscopy data Timothy D. Johnson, Professor, Department of Biostatistics, School of Public Health, University...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Neural Collapse in AI Training X.Y. Han, Assistant Professor of Operations Management, Booth School of Business, University of Chicago Abstract: In the...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
(Re)visiting Foundation Models for Science and Beyond Wei Wang, Leonard Kleinrock Professor in Computer Science and Computational Medicine, University of California,...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Foundation Models and Generative AI for Medical Imaging Segmentation in Ultra-Low Data Regimes Pengtao Xie, Assistant Professor, Electrical and Computer Engineering,...
8:30 AM - 7:30 PM, sponsored by Department of Statistics and Data Science
3 Day Event April 4-6 ASA DataFest at Northwestern is a data analysis competition organized by the Department of Statistics and...
10:30 AM - 9:30 PM, sponsored by Department of Statistics and Data Science
3 Day Event April 4-6 ASA DataFest at Northwestern is a data analysis competition organized by the Department of Statistics and...
5:00 PM - 9:30 PM, sponsored by Department of Statistics and Data Science
3 Day Event April 4-6 ASA DataFest at Northwestern is a data analysis competition organized by the Department of Statistics and...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Knowledge-Guided Machine Learning for Scientific Discovery: Challenges and Opportunities Xiaowei Jia, Assistant Professor, Department of Computer Science, University of Pittsburgh Abstract: Data science...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Towards Data-efficient Training of Large Language Models (LLMs) Baharan Mirzasoleiman, Assistant Professor, Computer Science Department, UCLA Abstract: High quality data is crucial...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
AI for Nature: From Science to Impact Tanya Berger-Wolf, Professor, Computer Science and Engineering and Director, Translational Data Analytics Institute, The...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Tensor Time Series: Factor Modeling and Deep Neural Networks Yuefeng Han, Assistant Professor, Department of Applied and Computational Mathematics and Statistics,...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
The Role of AI in Scientific Discovery: Opportunities and Limitations Xiangliang Zhang, Leonard C. Bettex Collegiate Professor of Computer Science, University...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Leveraging multi-study, multi-outcome data to improve external validity and efficiency of clinical trials for managing schizophrenia Caleb H. Miles, Assistant Professor...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Structure-driven design of reinforcement learning algorithms: a tale of two estimators Wenlong Mou, Assistant Professor of Statistical Sciences, University of Toronto Abstract:...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Quantum Computation and Statistics Yazhen Wang, Department of Statistics, University of Wisconsin-Madison Abstract: Quantum computation and quantum information are of great current...
11:00 AM - 1:00 PM, sponsored by Department of Statistics and Data Science
Statistics Careers in the Pharmaceutical Industry Lingyun Liu Director, Biometrics Department, Vertex Pharmaceuticals Talk 11:00 AM-12:00 PM Networking Reception 12:00 PM-1:00 PM This talk aims...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Autonomous Learning: Unifying OOD Detection and Continual Learning Bing Liu, Distinguished Professor and Peter L. and Deborah K. Wexler Professor of...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Subsampling for Big Data Regression with Measurement Constraints Lin Wang, Assistant Professor of Statistics, Purdue University Abstract: Despite the availability of extensive...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
A holistic and critical look at language agents Yu Su, Assistant Professor, Department of Computer Science and Engineering, The Ohio State...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
How to Detect Out-of-Distribution Data in the Wild? Sharon Y. Li, Assistant Professor in the Department of Computer Sciences, University of...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Mathematics in Scientific Machine Learning Rebecca Willett, Professor of Statistics and Computer Science & the Faculty Director of AI at the...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
An Automatic Finite-Sample Robustness Check: Can Dropping a Little Data Change Conclusions? Tamara Broderick, Associate Professor, Department of Electrical Engineering and...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
T-Stochastic Graphs Karl Rohe, Professor of Statistics, University of Wisconsin-Madison Abstract: Previous statistical approaches to hierarchical clustering for social network analysis all...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Audience Choice: Bayesian Workflow / Causal Generalization / Modeling of Sampling Weights Andrew Gelman, Department of Statistics and Department of Political...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
t-SNE and Local 1D Structures Anna Ma, Assistant Professor, UC Irvine, Department of Mathematics Abstract: Data visualization is a vital task in...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Surprises in binary linear classification Andrea Montanari, John D. and Sigrid Banks Professor in Statistics and Mathematics, Stanford University Abstract: Machine learning...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Large Language Models to understand biomedical text Yuan Luo, Director, Institute for Artificial Intelligence in Medicine - Center for Collaborative AI...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Approximate Co-sufficient Sampling with Regularization Wanrong Zhu, Final-year PhD student, Department of Statistics, University of Chicago Abstract: Goodness-of-fit (GoF) testing is ubiquitous...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
BET and BELIEF Kai Zhang, Associate Professor, Department of Statistics and Operations Research, University of North Carolina, Chapel Hill Abstract: We study...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
From 20GB to 100TB: a journey on the metagenomic road Dr. Zhong Wang, Computational Biologist at Lawrence Berkeley Lab, program head...
11:00 AM - 1:00 PM, sponsored by Department of Statistics and Data Science
Statistical Careers with Social Science Research Organizations Zachary Seeskin, PhD Senior Statistician, NORC at the University of Chicago Northwestern 2016, PhD in Statistics Talk...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Phylogenomics: Some Identifiability Results Sebastien Roch, Professor in the Department of Mathematics, affiliated with the Department of Statistics and the Theory...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Sharper Risk Bounds for Statistical Aggregation Nikita Zhivotovskiy, Assistant Professor, Department of Statistics, University of California Berkeley Abstract: In this talk, we...
2:00 PM - 3:00 PM, sponsored by Department of Statistics and Data Science
The unreasonable effectiveness of negative association Subhro Ghosh, Assistant Professor, Department of Mathematics, Dept of Statistics and Data Science, faculty affiliate...
2:00 PM - 3:00 PM, sponsored by Department of Statistics and Data Science
Sparse topic modeling via spectral decomposition and thresholding Claire Donnat, Assistant Professor, Department of Statistics, University of Chicago Abstract: By modeling documents...
2:00 PM - 3:00 PM, sponsored by Department of Statistics and Data Science
A Single level Deep Learning Approach to Solve Stackelberg Mean Field Game Problems Gökçe Dayanıklı, Assistant Professor, Department of Statistics, University...
2:00 PM - 3:00 PM, sponsored by Department of Statistics and Data Science
Gaussian random field approximation for wide neural networks Nathan Ross, Associate Professor, School of Mathematics and Statistics, University of Melbourne Abstract: It...
1:00 PM - 3:00 PM, sponsored by Department of Statistics and Data Science
How to Prepare for a Career as an Industrial Statistician Shuguang Huang Chief Scientific Officer, Stat4ward Northwestern 2001, PhD in Statistics Talk...
2:00 PM - 3:00 PM, sponsored by Department of Statistics and Data Science
On Fine-Tuning Large Language Models with Less Labeling Cost Tuo Zhao, Assistant Professor, H. Milton Stewart School of Industrial and Systems...
1:00 PM - 3:00 PM, sponsored by Department of Statistics and Data Science
The Biotech and Pharma Job Market for Statisticians: What You Need to Know Kelvin Shi VP and Head of Biometrics, Kymera Therapeutics Northwestern...
2:00 PM - 3:00 PM, sponsored by Department of Statistics and Data Science
Statistical Optimality and Computational Tractability of ICA Ming Yuan, Professor of Statistics, Associate Director of the Data Science Institute, Columbia University Abstract:...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Minimax Problems in Reinforcement Learning Justin Romberg, Schlumberger Professor in the School of Electrical and Computer Engineering, Georgia Institute of Technology Abstract:...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Understanding the Universality Phenomenon in High-Dimensional Estimation and Learning: Some Recent Progress Yue M. Lu, Gordon McKay Professor of Electrical Engineering...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
The Mathematics of Privacy and Synthetic Data Thomas Strohmer, Professor of Mathematics and Director of the Center of Data Science and...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Invertible normalizing flow neural networks for statistical inference Yao Xie, Associate Professor and Harold R. and Mary Anne Nash Early Career...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Foundations for Feature Learning via Gradient Descent Mahdi Soltanolkotabi, Director of Center on AI Foundations for the Sciences (AIF4S) and Associate...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Relax! The Case For Rockafellian Relaxation In Stochastic Optimization and Learning Johannes O. Royset, Professor of Operations Research, Naval Postgraduate...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Unbiased and Robust Analysis of Co-localization in Super-resolution Microscope Images Hui Zhang, Professor of Preventive Medicine (Biostatistics) in the Division of...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Learner-Private Convex Optimization Dana Yang, Assistant Professor, Department of Statistics and Data Science, Cornell University Abstract: Convex optimization with feedback is a...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Intelligent Adaptive Experimentation: Integrating Statistics & Machine Learning to Accelerate Science and Help People Joseph Jay Williams, Assistant Professor, Computer Science,...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
A modern take on Huber regression Po-Ling Loh, Professor in the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Leveraging "partial" smoothness for faster convergence in nonsmooth optimization Damek Davis, Associate Professor of Operations Research, Cornell University Abstract: First-order methods in nonsmooth...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Conformal prediction beyond exchangeability Rina Foygel Barber, Professor, Department of Statistics, University of Chicago Abstract: Conformal prediction is a popular, modern technique for...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
Ultrahigh Dimensional Variable Selection for Bayesian Mixed‐type Multivariate Generalized Linear Models Hsin-Hsiung Bill Huang, Associate Professor, Department of Statistics and Data...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
It’s Not What We Said, It’s Not What They Heard, It’s What They Say They Heard Barry D. Nussbaum, Adjunct Professor,...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
High-order Singular Value Decomposition Anru Zhang, Eugene Anson Stead, Jr. M.D. Associate Professor, Departments of Biostatistics & Bioinformatics, Computer Science, Mathematics,...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
From Experimentation to Causal Learning: Applied Research in Tech Industry Zhenyu Zhao, Data Science Director at Tencent, Ph.D. Department of Statistics,...
11:00 AM - 12:00 PM, sponsored by Department of Statistics and Data Science
New 2-parameter families of advanced forecasting functions: seasonal/nonseasonal models, comparison to the exponential smoothing and ARIMA models, and application to...
