MBZUAI’s Department of Statistics and Data Science will host a workshop on the Frontiers of Statistical Inference,
bringing together researchers to explore cutting-edge methods for reliable AI.
The workshop is designed to encourage deep discussion, idea exchange, and informal collaboration across intersecting areas of statistics and machine learning.
The workshop will cover a broad set of topics at the intersection of statistics and AI, including:
Conformal inference and distribution-free prediction
Calibration and evaluation of probabilistic forecasts
Uncertainty quantification in complex and black-box models
Prediction-powered and model-assisted inference
High-dimensional and post-selection inference
Robustness and adaptation under distribution shift
Fairness, interpretability, and statistical guarantees
Graduate students and early career researchers are especially encouraged to apply.
This is a unique opportunity to engage with leaders in the field and discover future research directions.
Organizing Committee
Souhaib Ben Taieb (MBZUAI)
Mladen Kolar (MBZUAI / University of Southern California)
Eric Moulines (MBZUAI / École Polytechnique)
Maxim Panov (MBZUAI)
Qiang Sun (MBZUAI / University of Toronto)
Contact Information
For questions about the workshop, please contact Mladen Kolar: mladen.kolar AT mbzuai.ac.ae