| September 12th, 2025 |
McGill Statistics Seminar |
Lukas Wermuth |
Proper Correlation Coefficients for Nominal Random Variables |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| September 19th, 2025 |
McGill Statistics Seminar |
Xin Bing |
Optimal vintage factor analysis with deflation varimax |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| September 26th, 2025 |
McGill Statistics Seminar |
Dingke Tang |
Sparse Causal Learning: Challenges and Opportunities |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| October 3rd, 2025 |
McGill Statistics Seminar |
Rachel Morris |
Convergence Guarantees for Adversarially Robust Classifiers |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| October 10th, 2025 |
McGill Statistics Seminar |
Amanda M. Cook |
K-contact Distance for Noisy Nonhomogeneous Spatial Point Data and Application to Repeating Fast Radio Burst Sources |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| October 24th, 2025 |
McGill Statistics Seminar |
Yang Feng |
Regularized Fine-Tuning for Representation Multi-Task Learning: Adaptivity, Minimaxity, and Robustness |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| November 7th, 2025 |
McGill Statistics Seminar |
Tianshu Yu |
Towards Efficient and Reliable Generative and Sampling Models |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| November 14th, 2025 |
McGill Statistics Seminar |
Ben Adcock |
Can uncertainty be quantified? On confident hallucinations in deep learning-based methods for inverse problems |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| November 28th, 2025 |
McGill Statistics Seminar |
Li-Hsiang Lin |
Deep P-Spline: Theory, Fast Tuning, and Application |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |