Can Transformers Learn Full Bayesian Inference in Context?

28 January 2025

Papers citing "Can Transformers Learn Full Bayesian Inference in Context?"

6 / 6 papers shown

Title
Do-PFN: In-Context Learning for Causal Effect Estimation Jake Robertson Arik Reuter Siyuan Guo Noah Hollmann Frank Hutter Bernhard Schölkopf CML 63 0 0 06 Jun 2025
Position: The Future of Bayesian Prediction Is Prior-Fitted Samuel G. Müller Arik Reuter Noah Hollmann David Rügamer Frank Hutter 28 0 0 29 May 2025
Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Gustavo Sutter Pessurno de Carvalho Mohammed Abdulrahman Hao Wang Sriram Ganapathi Subramanian Marc St-Aubin Sharon O'Sullivan Lawrence Wan Luis Ricardez-Sandoval Pascal Poupart Agustinus Kristiadi 22 0 0 29 May 2025
TabPFN: One Model to Rule Them All? Qiong Zhang Yan Shuo Tan Qinglong Tian Pengfei Li 36 1 0 26 May 2025
Uncertainty Quantification for Prior-Data Fitted Networks using Martingale Posteriors Thomas Nagler David Rügamer UQCV 100 0 0 16 May 2025
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models Julius Vetter Manuel Gloeckler Daniel Gedon Jakob H Macke 117 1 0 24 Apr 2025