Frontiers of Bayesian Inference and Data Science
Videos from CMO Workshop
Tommaso Rigon, University of Milano
Monday Sep 2, 2024 10:15 - 11:00
Distribution theory of Gibbs-type feature allocation
Isabella Deutsch, University of Edinburgh
Monday Sep 2, 2024 11:00 - 11:30
Ancestor Hawkes Processes for Group Chat Messaging Patterns
Riccardo Corradin, University of Milano-Bicocca
Monday Sep 2, 2024 12:00 - 12:30
Nesting compound random measures
Florian Maire, University of Montreal
Monday Sep 2, 2024 15:15 - 15:45
Towards variance reduction in MCMC with the occlusion process
Yanxun Xu, Johns Hopkins University
Monday Sep 2, 2024 16:15 - 17:00
Precision Medicine in HIV
Noirrit Kiran Chandra, The University of Texas at Dallas
Monday Sep 2, 2024 17:00 - 17:15
Functional connectivity across the human subcortical auditory system using an autoregressive matrix-Gaussian copula graphical model approach with partial correlations
Farabi Raihan Shuvo, University of Texas at Dallas
Monday Sep 2, 2024 17:15 - 17:45
Bayesian Semiparametric Drift-diffusion Models for Cognitive Control Leveraging Stop-signal Tasks
Panayiota Touloupou, University of Birmingham
Tuesday Sep 3, 2024 09:45 - 10:15
Scalable inference for epidemic models with individual level data
Bernardo Flores López, University of Texas at Austin
Tuesday Sep 3, 2024 10:15 - 10:45
Predictive coresets
Giovanni Rebaudo, University of Torino
Tuesday Sep 3, 2024 11:15 - 11:45
Understanding partially exchangeable nonparametric priors for discrete structure
Sameer Deshpande, University of Wisconsin–Madison
Tuesday Sep 3, 2024 11:45 - 12:15
Scalable smoothing in high-dimensions with BART
François-Xavier Briol, University College Lonon
Tuesday Sep 3, 2024 14:15 - 15:00
Robust and Conjugate Gaussian Process Regression
Eli Weinstein, Columbia University
Tuesday Sep 3, 2024 15:00 - 15:30
Nonparametrically-perturbed parametric Bayesian models: robustness, efficiency and approximations
Lorenzo Capello, Universitat Pompeu Fabra
Tuesday Sep 3, 2024 15:30 - 16:00
Scalable Bayesian inference for Coalescent Models
Georgia Papadogeorgou, University of Florida
Tuesday Sep 3, 2024 16:30 - 17:00
Spatial causal inference in the presence of unmeasured confounding and interference
Falco Joannes Bargagli Stoffi, Harvard University
Tuesday Sep 3, 2024 17:00 - 17:15
Confounder-Dependent Bayesian Mixture Model: Characterizing Heterogeneity of Causal Effects
Dafne Zorzetto, Brown University
Tuesday Sep 3, 2024 17:15 - 17:45
Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
Yang Ni, Texas A&M University
Wednesday Sep 4, 2024 09:00 - 09:45
Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data
Mario Beraha, Politecnico di Milano
Wednesday Sep 4, 2024 09:45 - 10:15
Learning to (approximately) count via Bayesian nonparametrics
Bernardo Nipoti, University of Milano Bicocca
Wednesday Sep 4, 2024 10:45 - 11:30
Clustering multiple network data: a Bayesian nonparametric approach}
Francesco Gaffi, University of Maryland
Wednesday Sep 4, 2024 11:30 - 12:00
An invariance-based approach to node clustering in dynamic networks
Beatrice Franzolini, Bocconi University
Wednesday Sep 4, 2024 12:00 - 12:30
Conditional partial exchangeability: longitudinal and multi-view partitions
Francesca Panero, London School of Economics and Political Science
Thursday Sep 5, 2024 09:00 - 09:30
Modeling sparse networks with Bayesian Nonparametrics
Deborah Sulem, Università della Svizzera italiana
Thursday Sep 5, 2024 09:30 - 10:00
Scalable Bayesian inference for Gaussian Graphical Models
Felipe Medina, ITAM
Thursday Sep 5, 2024 11:00 - 11:30
Speeding up Inference on genetic trees and graphs
Roberta de Vito, Brown University
Thursday Sep 5, 2024 11:30 - 12:00
Bayesian multi-study techniques to learn reproducible signals across studies
Veronica Berrocal, University of California, Irvine
Thursday Sep 5, 2024 13:30 - 14:15
Bayesian spatial modeling for applications in geophysical sciences
Francesco Denti, Università Cattolica del Sacro Cuore
Thursday Sep 5, 2024 14:15 - 14:45
Of mice and music: finite-infinite nested priors for the segmentation of large-scale grouped data
Arman Oganisian, Brown University
Thursday Sep 5, 2024 14:45 - 15:15
Bayesian Semiparametrics for Sequential Decision-Making with Incomplete Information: Applications in Acute Myeloid Leukemia
Gemma Moran, Rutgers University
Thursday Sep 5, 2024 16:15 - 16:45
Identifiable deep generative models via sparse decoding
Mauricio Tec, Harvard University
Thursday Sep 5, 2024 16:45 - 17:15
Eliciting Behavioral Bayesian Priors for Reinforcement Learning from Large Language Models
