We discuss exciting applications of data science techniques or promising methodological developments Journal Club of the Data Science for SHaPE group is a monthly meeting for anyone with an interest in Data Science and its applications to societally beneficial causes. We cover a very wide range of topics but try to always provide appropriate context and assumptions, and highlight the relevant high-level message. We find that coming from a range of backgrounds and being a fairly interdisciplinary audience makes for very interesting discussions - so anyone welcome to join!If you would like to attend, please contact us at datascienceunit@inf.ed.ac.uk Next Journal Club Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models Paper: https://arxiv.org/abs/2503.17523Presenter: Keiran RichardsDate: 11/07/205 List of previously discussed papers AISTATS conference In this session different members of the club brought papers from the AISTATS 2025 to discussConference paper: https://openreview.net/group?id=aistats.org/AISTATS/2025/ConferencePresenter: MultipleCovered papers:Cross validation for correlated Data in Classification models: https://arxiv.org/abs/1904.02438All models are wrong, some are useful: Model Selection with Limited Labels: https://arxiv.org/pdf/2410.13609Causal Discovery on Dependent Binary Data: https://arxiv.org/pdf/2412.20289Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data: https://raw.githubusercontent.com/mlresearch/v258/main/assets/wang25k/wang25k.pdfMING: A Functional Approach to Learning Molecular Generative Models: https://openreview.net/forum?id=ofoxdvlzAZInformation-Theoretic Measures on Lattices for High-Order Interactions: https://arxiv.org/pdf/2412.20289Strategic Conformal Prediction: https://arxiv.org/abs/2411.01596Learning Graph Node Embeddings by Smooth Pair Sampling: https://arxiv.org/pdf/2501.12884Towards Cost Sensitive Decision Making: https://arxiv.org/abs/2410.03892Choice is what matters after Attention: https://proceedings.mlr.press/v258/fu25a.htmlDate: 13/06/205 Insights into population dynamics: A foundation model for geospatial inference Paper: https://research.google/blog/insights-into-population-dynamics-a-foundation-model-for-geospatial-inference/Presenter: Sean Ó HéirDate: 09/05/205 Mamba: Linear-Time Sequence Modeling with Selective State Spaces Paper: https://arxiv.org/abs/2312.00752Presenter: Karthik MohanDate: 11/04/205 Causal Machine Learning: A survey and Open Problems Paper: https://arxiv.org/pdf/2206.15475Presenter: Sohan SethDate: 14/03/2025 A Multi-Dimensional Approach to Map Disease Relationships Challenges Classical Disease Views Paper: https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.202401754Presenter: Paola GaldiDate: 14/02/2025 A Unified Approach to Interpreting Model Predictions Paper: https://arxiv.org/pdf/1705.07874Presenter: Jorge GaeteDate: 08/11/2024 Inferring Cultural Landscapes with the Inverse Ising Model Paper: https://www.mdpi.com/1099-4300/25/2/264Guillermo RomeroDate: 11/10/2024 This article was published on 2024-11-22
