David Blei
Columbia University in the City of New York
H-index: 106
North America-United States
Top articles of David Blei
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Variational Inference with Gaussian Score Matching | Advances in Neural Information Processing Systems | Chirag Modi Robert Gower Charles Margossian Yuling Yao David Blei | 2024/2/13 |
Conformal sensitivity analysis for individual treatment effects | Journal of the American Statistical Association | Mingzhang Yin Claudia Shi Yixin Wang David M Blei | 2024/1/2 |
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation | arXiv preprint arXiv:2404.09113 | Bohan Wu David Blei | 2024/4/14 |
Practical and asymptotically exact conditional sampling in diffusion models | Advances in Neural Information Processing Systems | Luhuan Wu Brian Trippe Christian Naesseth David Blei John P Cunningham | 2024/2/13 |
Field Experiments, Machine Learning, and Causality | David Blei Donald Green | 2024 | |
Starfysh integrates spatial transcriptomic and histologic data to reveal heterogeneous tumor–immune hubs | Nature Biotechnology | Siyu He Yinuo Jin Achille Nazaret Lingting Shi Xueer Chen | 2024/3/21 |
Nonparametric identifiability of causal representations from unknown interventions | Advances in Neural Information Processing Systems | Julius von Kügelgen Michel Besserve Liang Wendong Luigi Gresele Armin Kekić | 2024/2/13 |
Batch and match: black-box variational inference with a score-based divergence | arXiv preprint arXiv:2402.14758 | Diana Cai Chirag Modi Loucas Pillaud-Vivien Charles C Margossian Robert M Gower | 2024/2/22 |
Holdout predictive checks for Bayesian model criticism | Journal of the Royal Statistical Society Series B: Statistical Methodology | Gemma E Moran David M Blei Rajesh Ranganath | 2024/2 |
Causal-structure Driven Augmentations for Text OOD Generalization | Advances in Neural Information Processing Systems | Amir Feder Yoav Wald Claudia Shi Suchi Saria David Blei | 2024/2/13 |
Density Uncertainty Layers for Reliable Uncertainty Estimation | Yookoon Park David Blei | 2024/4/18 | |
Hierarchical Causal Models | arXiv preprint arXiv:2401.05330 | Eli N Weinstein David M Blei | 2024/1/10 |
Evaluating the moral beliefs encoded in llms | Advances in Neural Information Processing Systems | Nino Scherrer Claudia Shi Amir Feder David Blei | 2024/2/13 |
On the Misspecification of Linear Assumptions in Synthetic Controls | Achille OR Nazaret Claudia Shi David Blei | 2024/4/18 | |
Stable Differentiable Causal Discovery | arXiv preprint arXiv:2311.10263 | Achille Nazaret Justin Hong Elham Azizi David Blei | 2023/11/17 |
Amortized Variational Inference: When and Why? | arXiv preprint arXiv:2307.11018 | Charles C Margossian David M Blei | 2023/7/20 |
CAREER: A Foundation Model for Labor Sequence Data | Transactions on Machine Learning Research | Keyon Vafa Emil Palikot Tianyu Du Ayush Kanodia Susan Athey | 2023/6/5 |
Deep generative model deciphers derailed trajectories in acute myeloid leukemia | bioRxiv | Achille Nazaret Joy Linyue Fan Vincent-Philippe Lavallee Andrew E Cornish Vaidotas Kiseliovas | 2023/11/15 |
An invariant learning characterization of controlled text generation | arXiv preprint arXiv:2306.00198 | Carolina Zheng Claudia Shi Keyon Vafa Amir Feder David M Blei | 2023/5/31 |
Data Augmentations for Improved (Large) Language Model Generalization | Amir Feder Yoav Wald Claudia Shi Suchi Saria David Blei | 2023/11/2 |
Co-Authors
