Learning Policies for Contextual Submodular Prediction

11 May 2013

Papers citing "Learning Policies for Contextual Submodular Prediction"

7 / 7 papers shown

Title
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient? Hwanwoo Kim Chong Liu Yuxin Chen 30 0 0 13 Jun 2025
Optimizing Partial Area Under the Top-k Curve: Theory and Practice Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 80 7 0 03 Sep 2022
Learning to Search via Retrospective Imitation Jialin Song Ravi Lanka Albert Zhao Aadyot Bhatnagar Yisong Yue M. Ono OffRL 65 33 0 03 Apr 2018
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction Wen Sun Arun Venkatraman Geoffrey J. Gordon Byron Boots J. Andrew Bagnell 136 236 0 03 Mar 2017
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification Maksim Lapin Matthias Hein Bernt Schiele 87 103 0 12 Dec 2016
Loss Functions for Top-k Error: Analysis and Insights Maksim Lapin Matthias Hein Bernt Schiele 174 96 0 01 Dec 2015
Reinforcement and Imitation Learning via Interactive No-Regret Learning Stéphane Ross J. Andrew Bagnell OffRL 167 264 0 23 Jun 2014