Schedule

Here is the schedule of presenting in the reading group.

3rd Round (sep 2021 - Jan 2022)

Date	Presenter	Paper
09-29-2021	张及之	CIKM2021-Top-N Recommendation with Counterfactual User Preference Simulation
10-13-2021	王晨旭	KDD2021-DARING: Differentiable Causal Discovery with Residual Independence
10-27-2021	赵子豪	RecSys2021-Mitigating Confounding Bias in Recommendation via Information Bottleneck
11-03-2021	丁斯昊	KDD2021-Self-supervised Learning for Alleviating Selection Bias in Recommendation Systems
11-17-2021	潘航	NIPS2020-Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
11-24-2021	高崇明	pass
12-01-2021	王文杰	KDD2020-Disentangled Self-Supervision in Sequential Recommenders
12-08-2021	陈佳佳	NeuraIPS2021-Comprehensive Knowledge Distillation with Causal Intervention
12-15-2021	朱心远	KDD2021-Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition
12-22-2021	张洋	NAACL2021-Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis.
12-29-2021	陈钢	SIGIR2021-Counterfactual Data-Augmented Sequential Recommendation.
01-14-2022	邓迅	JASA2019- The Blessings of Multiple Causes.
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Date	Presenter	Paper
3-23	张洋	Counterfactual Zero-Shot and Open-Set Visual Recognition
3-30	王文杰	Causal Attention for Vision-Language Tasks
4-06	王晨旭	Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
4-13	张及之	Distilling Causal Effect of Data in Class-Incremental Learning
4-20	吴颖馨	delta-CLUE: Divere Sets of Explanations for Uncertainty Estimates
4-27	邓讯	Algorithmic Recourse: from Counterfactual Explanations to Interventions
5-04	Holiday	Pass
5-11	朱心远
5-18	NeurIPS deadline	Pass
5-25	NeurIPS deadline	Pass
6-01	石文焘
6-08	董汉德
6-15	魏天心
6-22	王禹
6-29	丁斯昊
7-06	陈佳佳
7-13	傅天任
7-20	叶坚白
7-27
8-03
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Date	Presenter	Paper
27 Sep 2020	董汉德	Learning Stable Graphs from Multiple Environments with Selection Bias (2020KDD)
04 Oct 2020	Holiday	Pass
11 Oct 2020	WWW	Pass
18 Oct 2020	WWW	Pass
25 Oct 2020	吴颖馨	Causal Interpretability for Machine Learning-Problems, Methods and Evaluation
01 Nov 2020	Group Activity	Pass
08 Nov 2020	张洋	Visual Commonsense R-CNN
15 Nov 2020	陈佳伟	TBD
22 Nov 2020	曹培	Counterfactual Samples Synthesizing for Robust Visual Question Answering (CVPR2020)
29 Nov 2020	谭懿	Learning to Contrast the Counterfactual Samples for Robust Visual Question Answersing(2020EMNLP),Unbiased Scene Graph Generation from Biased Training(2020CVPR)
06 Dec 2020	石文焘	Causal inference and counterfactual prediction in machine learning for actionable healthcare（2020 Nature Machine Intelligence)
13 Dec 2020	张及之	Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
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