Explainable History Distillation by Marked Temporal Point Process

13 November 2023

Papers citing "Explainable History Distillation by Marked Temporal Point Process"

28 / 28 papers shown

Title
Cardinality-Regularized Hawkes-Granger Model T. Idé Georgios Kollias Dzung Phan Naoki Abe 89 12 0 28 Jan 2025
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media Yizhou Zhang Defu Cao Yang Liu CML 63 23 0 14 Oct 2022
GLM-130B: An Open Bilingual Pre-trained Model Aohan Zeng Xiao Liu Zhengxiao Du Zihan Wang Hanyu Lai ... Jidong Zhai Wenguang Chen Peng Zhang Yuxiao Dong Jie Tang BDL LRM 342 1,090 0 05 Oct 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 45 52 0 16 Jun 2022
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation Hongru Wang Wei Liang Jianbing Shen Luc Van Gool Wenguan Wang 55 57 0 30 Mar 2022
A Survey for Solving Mixed Integer Programming via Machine Learning Jiayi Zhang Chang-rui Liu Junchi Yan Xijun Li Hui-Ling Zhen Mingxuan Yuan AI4CE 51 73 0 06 Mar 2022
Transformer Embeddings of Irregularly Spaced Events and Their Participants Chenghao Yang Hongyuan Mei Jason Eisner AI4TS 78 60 0 31 Dec 2021
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media Yizhou Zhang Karishma Sharma Yang Liu 43 30 0 28 Oct 2021
Top-N Recommendation with Counterfactual User Preference Simulation Mengyue Yang Quanyu Dai Zhenhua Dong Xu Chen Xiuqiang He Jun Wang CML BDL 70 66 0 02 Sep 2021
Counterfactual Explainable Recommendation Juntao Tan Shuyuan Xu Yingqiang Ge Yunqi Li Xu Chen Yongfeng Zhang CML 51 143 0 24 Aug 2021
Counterfactual Explanations in Sequential Decision Making Under Uncertainty Stratis Tsirtsis A. De Manuel Gomez Rodriguez 52 46 0 06 Jul 2021
Optimal Counterfactual Explanations in Tree Ensembles Axel Parmentier Thibaut Vidal 41 54 0 11 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning Jiahui Li Kun Kuang Baoxiang Wang Furui Liu Long Chen Leilei Gan Jun Xiao OffRL 74 63 0 01 Jun 2021
Counterfactual Explanations for Neural Recommenders Khanh Tran Azin Ghazimatin Rishiraj Saha Roy AAML CML 85 65 0 11 May 2021
GLM: General Language Model Pretraining with Autoregressive Blank Infilling Zhengxiao Du Yujie Qian Xiao Liu Ming Ding J. Qiu Zhilin Yang Jie Tang BDL AI4CE 109 1,535 0 18 Mar 2021
Transformer Hawkes Process Simiao Zuo Haoming Jiang Zichong Li T. Zhao H. Zha AI4TS 70 292 0 21 Feb 2020
BRPO: Batch Residual Policy Optimization Kentaro Kanamori Yinlam Chow Takuya Takagi Hiroki Arimura Honglak Lee Ken Kobayashi Craig Boutilier OffRL 180 45 0 08 Feb 2020
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems Azin Ghazimatin Oana Balalau Rishiraj Saha Roy Gerhard Weikum FAtt 51 99 0 19 Nov 2019
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems Shalmali Joshi Oluwasanmi Koyejo Warut D. Vijitbenjaronk Been Kim Joydeep Ghosh FaML 58 187 0 22 Jul 2019
Reinforcement Learning for Integer Programming: Learning to Cut Yunhao Tang Shipra Agrawal Yuri Faenza AI4CE 55 171 0 11 Jun 2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi GNN CML 131 483 0 04 Jun 2019
Model Agnostic Contrastive Explanations for Structured Data Amit Dhurandhar Tejaswini Pedapati Avinash Balakrishnan Pin-Yu Chen Karthikeyan Shanmugam Ruchi Puri FAtt 77 83 0 31 May 2019
Learning to Perform Local Rewriting for Combinatorial Optimization Xinyun Chen Yuandong Tian NAI OffRL 106 345 0 30 Sep 2018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives Amit Dhurandhar Pin-Yu Chen Ronny Luss Chun-Chen Tu Pai-Shun Ting Karthikeyan Shanmugam Payel Das FAtt 107 589 0 21 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 98 2,348 0 01 Nov 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.0K 21,815 0 22 May 2017
Fake News Mitigation via Point Process Based Intervention Mehrdad Farajtabar Jiachen Yang X. Ye Huan Xu Rakshit S. Trivedi Elias Boutros Khalil Shuang Li Le Song H. Zha GNN 46 155 0 22 Mar 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 167 2,529 0 02 Nov 2016