Merge pull request #31 from causal-machine-learning/plo/readme_update

index.html

@@ -158,9 +158,8 @@
 ### For Poster Presentation
 8. Community Detection-Enhanced Causal Structural Learning, Yuhe Gao (North Carolina State University)*; Hengrui Cai (University of California Irvine); Sheng Zhang (North Carolina State University); Rui Song (North Carolina State University); [Poster](https://drive.google.com/file/d/1dC_WLUhOJletn-kDJd1GPUJDyHwpMblG/view?usp=drive_link), [Paper](https://drive.google.com/file/d/11vnSFYDQZ1ZjztaM_eW7J9jd5tKH7y6Y/view?usp=drive_link)
 9. ACE: Active Learning for Causal Inference with Expensive Experiments, Difan Song (Georgia Institute of Technology)*; Simon Mak (Duke University); C.F. Jeff Wu (Georgia Institute of Technology); [Paper](https://drive.google.com/file/d/1-fCLcT4RYAHJlsSBUuuAwsuqHDf9B4Qt/view?usp=drive_link)
-10. Evaluate the Impact of Similar Products Ad Group Recommendations with Causal Inference, Jamie Chen (Amazon)*; Zuqi Shang (AmaOn); Raif Rustamov (Amazon); [Poster](https://drive.google.com/file/d/13UTLTuJKBA5hIFZ0g1HolLHQpAXhqcX4/view?usp=drive_link), [Paper](https://drive.google.com/file/d/1ahjN_fNvDjmdwD0btW4UvgxaKgCB32kP/view?usp=drive_link)
-11. Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing, Shahin Boluki (Pros Inc)*; Ravi Kumar (PROS); [Poster](https://drive.google.com/file/d/1AcRtI5NtovYWMEOLnQ7dE_IRgyHVukqf/view?usp=drive_link), [Paper](https://drive.google.com/file/d/1n5mL1quGS5jWVZXXqUrL349CJH-I2BOW/view?usp=drive_link)
-12. OpportunityFinder: A Framework for Automated Causal Inference, Huy Nguyen (Amazon)*; Prince Grover (Amazon); Devashish Khatwani (Amazon); [Poster](https://drive.google.com/file/d/1MH_vV5MDafqAOVLnQRIgmG1IFGXZx05r/view?usp=drive_link), [Paper](https://drive.google.com/file/d/1_yAoohM0jG0uPi7om9_6igVQJI1JM-Ce/view?usp=drive_link)
+10. Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing, Shahin Boluki (Pros Inc)*; Ravi Kumar (PROS); [Poster](https://drive.google.com/file/d/1AcRtI5NtovYWMEOLnQ7dE_IRgyHVukqf/view?usp=drive_link), [Paper](https://drive.google.com/file/d/1n5mL1quGS5jWVZXXqUrL349CJH-I2BOW/view?usp=drive_link)
+11. OpportunityFinder: A Framework for Automated Causal Inference, Huy Nguyen (Amazon)*; Prince Grover (Amazon); Devashish Khatwani (Amazon); [Poster](https://drive.google.com/file/d/1MH_vV5MDafqAOVLnQRIgmG1IFGXZx05r/view?usp=drive_link), [Paper](https://drive.google.com/file/d/1_yAoohM0jG0uPi7om9_6igVQJI1JM-Ce/view?usp=drive_link)
 
 
 ## **Organizers**
@@ -184,4 +183,4 @@
 
 * Fabio Vera, Microsoft Research, EconML
 * Eleanor Dillon, Microsoft Research, EconML
-* Keith Battocchi, Microsoft Research, EconML
+* Keith Battocchi, Microsoft Research, EconML