From Stochastic Optimization To Dynamic Data Depth, and From Domain-Specific Probability Models To Evaluation of Model-Based ForecastsMonday, September 13, 2021-- Professor Tze Leung Lai -- Stanford University
Big Spatial Data Learning: A Parallel Solution
Wednesday, September 15, 2021 -- Professor Shan Yu -- University of Virginia
Statistical Issues Arising in Equal Employment Cases
Wednesday, September 22, 2021 -- Professor Weiwen Miao -- Haverford College
Demystifying (Deep) Reinforcement Learning: The Pessimist, The Optimist, and Their Provable Efficiency
Wednesday, September 29, 2021 -- Prof. Zhuoran Yang -- Princeton University
Community Network Auto-Regression for High-Dimensional Time Series
Wednesday, October 6, 2021 -- Prof. Elynn Chen -- NYU Stern School of Business
From domain-specific probability models to evaluation of model-based probability forecasts
Monday, October 18, 2021 -- Professor Tze Leung Lai -- Stanford University
Understanding the Under-Coverage Bias in Uncertainty Estimation and Calibration
Wednesday, October 13, 2021 -- Dr. Yu Bai -- Salesforce Research
Motif Counting via Subgraph sampling
Wednesday, October 20, 2021 -- Professor Sumit Mukherjee -- Columbia University
Maximum likelihood for high-noise group orbit estimation and cryo-EM
Wednesday, October 27, 2021 -- Professor Zhou Fan -- Yale University
Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation
Wednesday, November 3, 2021 -- Professor Mohamed Ndaoud -- ESSEC Business School, Paris, France
Some insights into transfer learning under label shift and posterior drift
Wednesday, November 10, 2021 -- Professor Moulinath Banerjee -- University of Michigan
Differentially private inference via noisy optimization
Wednesday, November 17, 2021--Professor Marco Avella
Tie-breaker designs
Wednesday, December 1, 2021 -- Professor Art Owen --Stanford University
