Structured Prediction Theory Based on Factor Graph Complexity

20 May 2016

Papers citing "Structured Prediction Theory Based on Factor Graph Complexity"

9 / 9 papers shown

Title
Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel-Young Losses Yuzhou Cao Han Bao Lei Feng Bo An 24 0 0 14 May 2025
Generalization Analysis on Learning with a Concurrent Verifier Masaaki Nishino Kengo Nakamura Norihito Yasuda 39 1 0 11 Oct 2022
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference Mu Yuan Lan Zhang Fengxiang He Xueting Tong Miao-Hui Song Zhengyuan Xu Xiang-Yang Li 32 2 0 28 Sep 2022
Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes Junhyung Park Krikamol Muandet 27 6 0 09 Feb 2022
Learning with Multiclass AUC: Theory and Algorithms Zhiyong Yang Qianqian Xu Shilong Bao Xiaochun Cao Qingming Huang 36 67 0 28 Jul 2021
Fine-grained Generalization Analysis of Vector-valued Learning Liang Wu Antoine Ledent Yunwen Lei Marius Kloft 27 9 0 29 Apr 2021
Optimistic bounds for multi-output prediction Henry W. J. Reeve A. Kabán 26 8 0 22 Feb 2020
A Generalization Error Bound for Multi-class Domain Generalization A. Deshmukh Yunwen Lei Srinagesh Sharma Ürün Dogan J. Cutler Clayton Scott 18 36 0 24 May 2019
Learning latent variable structured prediction models with Gaussian perturbations Kevin Bello Jean Honorio 9 3 0 23 May 2018