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Title | Naveen Raman | |
Description | Naveen Raman MPhil ACS, University of Cambridge Previous Undergrad, University of Maryland njr61 [AT] cam.ac.uk About Bio Publications News CV Reading Lis |
Keywords | N/A |
WebSite | naveenraman.com |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
US$2,462,931
Last updated: 2023-05-17 08:02:05
naveenraman.com has Semrush global rank of 4,297,442. naveenraman.com has an estimated worth of US$ 2,462,931, based on its estimated Ads revenue. naveenraman.com receives approximately 284,185 unique visitors each day. Its web server is located in -, with IP address 185.199.111.153. According to SiteAdvisor, naveenraman.com is safe to visit. |
Purchase/Sale Value | US$2,462,931 |
Daily Ads Revenue | US$2,274 |
Monthly Ads Revenue | US$68,205 |
Yearly Ads Revenue | US$818,451 |
Daily Unique Visitors | 18,946 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
naveenraman.com. | A | 3599 | IP: 185.199.111.153 |
naveenraman.com. | A | 3599 | IP: 185.199.108.153 |
naveenraman.com. | A | 3599 | IP: 185.199.109.153 |
naveenraman.com. | A | 3599 | IP: 185.199.110.153 |
naveenraman.com. | NS | 21600 | NS Record: ns-cloud-a3.googledomains.com. |
naveenraman.com. | NS | 21600 | NS Record: ns-cloud-a1.googledomains.com. |
naveenraman.com. | NS | 21600 | NS Record: ns-cloud-a2.googledomains.com. |
naveenraman.com. | NS | 21600 | NS Record: ns-cloud-a4.googledomains.com. |
Naveen Raman MPhil ACS, University of Cambridge Previous Undergrad, University of Maryland njr61 [AT] cam.ac.uk About Bio Publications News CV Reading List About My research focuses on improving decision making for machine learning systems, with a particular focus on fairness . This includes work on fairness in rideshare matching algorithms [ IJCAI’21 ], learning-to-defer algorithms [ NeurIPS’21 WHMD ], and bias in question answering algorithms [ EMNLP’21 MRQA ]. I’m particularly interested in the intersection between decision making and healthcare, including causality, treatment matching, and interpretability. Feel free to reach out and contact me! Bio I am an MPhil candidate at Cambridge University studying Advanced Computer Science, attending on a fully-funded Churchill scholarship, and will be attending the Machine Learning department at Carnegie Mellon in 2023 on an NSF Fellowship. I’m currently working with Mateja Jamnik on interpretability through concept learning models. I |
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