Seminars
Upcoming Seminars
Speaker | Title (Click for details) | Time |
---|---|---|
Stephen Bates | Distribution-Free, Risk-Controlling Prediction Sets | Apr 23rd, 2021 3:30 pm |
Stephen Walker | Martingale Posterior Distributions | Apr 30th, 2021 3:30 pm |
Eardi Lila | Functional Random-Effects Modeling of Brain Shape and Connectivity | May 7th, 2021 3:30 pm |
Trevor Campbell, Alex Luedtke | Joint Colloquium with UBC & UW | May 14th, 2021 3:30 pm |
Shubhadeep Chakraborty | High-dimensional Change-point Detection Using Generalized Homogeneity Metrics | May 21st, 2021 3:30 pm |
Irina Gaynanova | Truncated Latent Gaussian Copula Model for Zero-Inflated Data | May 28th, 2021 3:30 pm |
Iain Carmichael | The Folded Concave Laplacian Spectral Penalty Learns Block Diagonal Sparsity Patterns with the Strong Oracle Property | Jun 4th, 2021 3:30 pm |
Past Seminars
Speaker | Time | Sponsor | |
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Chun Wang | Learning Attribute Hierarchies from Data: Exploratory Approaches | Feb 28th, 2020 | |
Cynthia Rush | Optimal SLOPE Power and False Positives Trade-off | Feb 21st, 2020 | |
Shan Liu | Optimizing Healthcare Interventions and Incentives: Models and Insights for Depression and Influenza | Feb 14th, 2020 |
Speaker | Time | Sponsor | |
---|---|---|---|
Yuqi Gu | Uncover Hidden Fine-Grained Scientific Information: Structured Latent Attribute Models | Jan 24th, 2020 | |
Yaniv Romano | Reliability, Equity, and Reproducibility in Modern Machine Learning | Jan 21st, 2020 | |
Vianey Leos Barajas | Hidden Markov Model Architectures for the Analysis of Ecological and Environmental Data | Jan 17th, 2020 | |
Ema Perkovic | Identifying Causal Effects from Observational Data | Jan 14th, 2020 | |
Emma Pierson | Data Science Methods to Reduce Inequality and Improve Healthcare | Jan 10th, 2020 | |
Paromita Dubbey | Fréchet Change Point Detection | Jan 7th, 2020 |
Speaker | Time | Sponsor | |
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Søren Wengel Mogensen | Graphical Modeling of Local Independence in Dynamical Systems | Nov 1st, 2019 |
Speaker | Time | Sponsor | |
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Marc Hallin | Center-Outward R-Estimation for Semiparametric VARMA Models | Oct 25th, 2019 | |
Abel Rodriguez | Hierarchical Priors for Bayesian Model Selection in Informative and Non-Informative Settings | Oct 18th, 2019 | |
Kevin G Jamieson | Adaptive Experimental Design for Multiple Testing and Best Identification | Oct 11th, 2019 | |
Ping Li | Consistent Weighted Sampling, Min-Max Kernel, and Connections to Computing with Big Data | Oct 4th, 2019 |
Speaker | Time | Sponsor | |
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Richard Samworth | High-Dimensional Principal Component Analysis with Heterogeneous Missingness | Sep 27th, 2019 |
Speaker | Time | Sponsor | |
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Rodrigo Bañuelos | [PIMS Hugh C. Morris Lecture] Conditional Expectation and Calderón-Zygmund Operators | May 23rd, 2019 | |
CSSS 20th Year Anniversary Conference | May 23rd, 2019 | ||
Mauricio Sadinle | Nonparametric Identified Methods to Handle Nonignorable Missing Data | May 17th, 2019 | |
Tamas Rudas | Multiplicative Models for Register Data | May 3rd, 2019 | Microsoft |
Speaker | Time | Sponsor | |
---|---|---|---|
Tommy Wright | [Joint Math/Stat] Lagrange's Identity and Apportionment of the U. S. House of Representatives | Apr 29th, 2019 |