Adapting and Evaluating Influence-Estimation Methods for
Gradient-Boosted Decision Trees

Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees

30 April 2022

Jonathan Brophy

Papers citing "Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees"

16 / 16 papers shown

Title
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 90 12 0 31 Dec 2024
Permissive Information-Flow Analysis for Large Language Models Shoaib Ahmed Siddiqui Radhika Gaonkar Boris Köpf David M. Krueger Andrew J. Paverd Ahmed Salem Shruti Tople Lukas Wutschitz Menglin Xia Santiago Zanella Béguelin 28 1 0 04 Oct 2024
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks Anita Eisenburger Daniel Otten Anselm Hudde F. Hopfgartner NoLa 42 1 0 13 Sep 2024
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models Yuncheng Yang Yulei Qin Tong Wu Zihan Xu Gang Li ... Yuchen Shi Ke Li Xing Sun Jie Yang Yun Gu ALM OffRL MoE 52 0 0 28 Aug 2024
Training Data Attribution via Approximate Unrolled Differentiation Juhan Bae Wu Lin Jonathan Lorraine Roger C. Grosse TDI MU 56 12 0 20 May 2024
Data-centric Prediction Explanation via Kernelized Stein Discrepancy Mahtab Sarvmaili Hassan Sajjad Ga Wu 27 1 0 22 Mar 2024
Thresholding Data Shapley for Data Cleansing Using Multi-Armed Bandits Hiroyuki Namba Shota Horiguchi Masaki Hamamoto Masashi Egi TDI 19 0 0 13 Feb 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Jundong Li XAI 40 8 0 09 Jan 2024
Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng Tianyu Pang Chao Du Jing Jiang Min-Bin Lin TDI 34 20 1 01 Nov 2023
Sample based Explanations via Generalized Representers Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar FAtt 39 8 0 27 Oct 2023
Representer Point Selection for Explaining Regularized High-dimensional Models Che-Ping Tsai Jiong Zhang Eli Chien Hsiang-Fu Yu Cho-Jui Hsieh Pradeep Ravikumar 20 2 0 31 May 2023
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 29 82 0 09 Dec 2022
Reducing Certified Regression to Certified Classification for General Poisoning Attacks Zayd Hammoudeh Daniel Lowd AAML 32 9 0 29 Aug 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation Zayd Hammoudeh Daniel Lowd TDI 21 28 0 25 Jan 2022
Influence Estimation for Generative Adversarial Networks Naoyuki Terashita Hiroki Ohashi Yuichi Nonaka T. Kanemaru TDI 32 12 0 20 Jan 2021
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 88 294 0 13 Sep 2019