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Title | Yuantong Li |
Description | Home Main Bio Research Yuantong Li (李沅桐) PhD Student Department of Statistics University of California, Los Angeles (UCLA) Office: BH 9410 E-mail: yuanton |
Keywords | N/A |
WebSite | liyuantong93.com |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
US$866,529
Last updated: 2023-05-17 06:09:08
liyuantong93.com has Semrush global rank of 12,214,606. liyuantong93.com has an estimated worth of US$ 866,529, based on its estimated Ads revenue. liyuantong93.com receives approximately 99,985 unique visitors each day. Its web server is located in -, with IP address 185.199.111.153. According to SiteAdvisor, liyuantong93.com is safe to visit. |
Purchase/Sale Value | US$866,529 |
Daily Ads Revenue | US$800 |
Monthly Ads Revenue | US$23,997 |
Yearly Ads Revenue | US$287,955 |
Daily Unique Visitors | 6,666 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
liyuantong93.com. | A | 3599 | IP: 185.199.111.153 |
liyuantong93.com. | NS | 21600 | NS Record: ns-cloud-c3.googledomains.com. |
liyuantong93.com. | NS | 21600 | NS Record: ns-cloud-c2.googledomains.com. |
liyuantong93.com. | NS | 21600 | NS Record: ns-cloud-c4.googledomains.com. |
liyuantong93.com. | NS | 21600 | NS Record: ns-cloud-c1.googledomains.com. |
Home Main Bio Research Yuantong Li (李沅桐) PhD Student Department of Statistics University of California, Los Angeles (UCLA) Office: BH 9410 E-mail: yuantongli [@] ucla [DOT] edu Address: Boelter Hall, Los Angeles, CA 90095 [Google Scholar] [Github] About me I’m a 4th-year Ph.D. student in the Department of Statistics, UCLA. My advisor is Prof. Guang Cheng and Prof. Xiaowu Dai . I was also fortunate to be advised by Prof. Wei Sun in Purdue University. My research interests fall in high-dimensional statistics, trustworthy AI combined with sequential decision making (bandit theory and reinforcement learning), and designing and optimizing multi-agent systems. Besides, I have interests and experience in natural language process field. CV is available upon request. Some of our current and past research interests are Sequential decision making Mechanism design Trustworthy AI (Fairness and Causal Inference) High-dimensional statistics NLP News Apr 2023, I’m going to attend the Causal Inference |
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