更新了 config.py 文件

Schedule.md

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+# Schedule
+Here is the schedule of presenting in the reading group.
+
+## Table of Contents
+- [Schedule](#schedule)
+  - [3rd Round (Sep 2021 - Jan 2022)](#3nd-Round-sep-2021-Jan-2022))
+  - [2nd Round (20 Feb 2020 - XX XXX 2021)](#2nd-round-12-Mar-2021---***)
+  - [1st Round (27 Sep 2020 - 10 Jan 2021)](#1st-round-27-sep-2020---10-jan-2021)
+
+## 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.|
+| :-----------: | :-----------: | :-----------: |
+
+## 2nd Round (12 Mar 2021 - Aug 2021)
+| 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 |  |  |
+| :-----------: | :-----------: | :-----------: |
+
+
+
+## 1st Round (27 Sep 2020 - 10 Jan 2021)
+| Date | Presenter | Paper |
+| :-----------: | :-----------: | :-----------: |
+| 27 Sep 2020 | 董汉德 | [Learning Stable Graphs from Multiple Environments with Selection Bias](https://dl.acm.org/doi/abs/10.1145/3394486.3403270) (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](https://arxiv.org/abs/2009.12991v2) |
+| :-----------: | :-----------: | :-----------: |