Ideal Abstractions for Decision-Focused Learning

29 March 2023

Papers citing "Ideal Abstractions for Decision-Focused Learning"

6 / 6 papers shown

Title
Generalizing Bayesian Optimization with Decision-theoretic Entropies Willie Neiswanger Lantao Yu Shengjia Zhao Chenlin Meng Stefano Ermon UQCV 63 11 0 04 Oct 2022
Lossy Compression for Lossless Prediction Yann Dubois Benjamin Bloem-Reddy Karen Ullrich Chris J. Maddison 81 61 0 21 Jun 2021
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng Zhang George Karypis FedML GNN 50 248 0 11 Oct 2020
A review of machine learning applications in wildfire science and management P. Jain Sean C. P. Coogan Sriram Ganapathi Subramanian Mark Crowley Steve Taylor M. Flannigan 39 478 0 02 Mar 2020
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 117 2,617 0 11 Dec 2019
Display of Information for Time-Critical Decision Making Eric Horvitz M. Barry 69 207 0 20 Feb 2013