seminar

Speaker: Stefan Wager (Associate Professor, Operations, Information and Technology, Stanford Graduate School of Business)

Speaker: Vasilis Syrgkanis, Assistant Professor, Management Science and Engineering, Stanford University

Title: Inference on Optimal Policy Values and Other Irregular Functionals via Softmax Smoothing

Speaker: Guanyu Hu, Associate Professor, Department of Statistics and Probability at Michigan State University

Title: How Competitive Is Competition? A Bayesian View of Parity Over Time

Professor, Department of Statistics, UC Berkeley

Title: Online Conformal Prediction, Multi-Level Quantile Tracking, and Gradient Equilibrium

Speaker: Sylvia Klosin, Assistant Professor, Agricultural and Resource Economics, UC Davis

Title: Causal Inference in Panel Data with Dynamics, Continuous Treatments, and Machine Learning

Speaker: Ian Waudby-Smith, Miller Post-doctoral Fellow, Statistics, UC Berkeley

Title: "Log-optimality and multi-armed sequential hypothesis testing"

Speaker: Natesh S. Pillai, Professor of Statistics, Harvard University

Speaker: Jingfeng Wu (Postdoctoral Fellow, Simons Institute for the Theory of Computing, UC Berkeley)

Title: Towards a Less Conservative Theory of Machine Learning: Unstable Optimization and Implicit Regularization

Speaker: Matias Cattaneo, Professor, Operations Research and Financial Engineering, Princeton University

Title: "Robust Inference for Convex Pairwise Difference Estimators"

Speaker: Will Townes, Assistant Professor, Dept of Statistics and Data Science, Carnegie Mellon University

Title: "A novel class of mixed Poisson distributions and wastewater-based epidemiology"