Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
Title | Nikita |
Description | Nikita Doikov a homepage Curriculum Vitae Google Scholar GitHub Email: nikita.doikov at epfl.ch Welcome! I do research in Computer Science with a focus on |
Keywords | N/A |
WebSite | doikov.com |
Host IP | 185.199.110.153 |
Location | - |
Site | Rank |
US$1,911
Last updated: 2023-05-20 08:37:30
doikov.com has Semrush global rank of 0. doikov.com has an estimated worth of US$ 1,911, based on its estimated Ads revenue. doikov.com receives approximately 220 unique visitors each day. Its web server is located in -, with IP address 185.199.110.153. According to SiteAdvisor, doikov.com is safe to visit. |
Purchase/Sale Value | US$1,911 |
Daily Ads Revenue | US$1 |
Monthly Ads Revenue | US$52 |
Yearly Ads Revenue | US$635 |
Daily Unique Visitors | 14 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
doikov.com. | A | 1798 | IP: 185.199.110.153 |
doikov.com. | A | 1798 | IP: 185.199.111.153 |
doikov.com. | A | 1799 | IP: 185.199.108.153 |
doikov.com. | A | 1798 | IP: 185.199.109.153 |
doikov.com. | NS | 1800 | NS Record: dns1.registrar-servers.com. |
doikov.com. | NS | 1800 | NS Record: dns2.registrar-servers.com. |
doikov.com. | MX | 1800 | MX Record: 20 eforward5.registrar-servers.com. |
doikov.com. | MX | 1800 | MX Record: 15 eforward4.registrar-servers.com. |
doikov.com. | MX | 1800 | MX Record: 10 eforward1.registrar-servers.com. |
doikov.com. | MX | 1800 | MX Record: 10 eforward2.registrar-servers.com. |
doikov.com. | MX | 1800 | MX Record: 10 eforward3.registrar-servers.com. |
doikov.com. | TXT | 1800 | TXT Record: v=spf1 include:spf.efwd.registrar-servers.com ~all |
Nikita Doikov a homepage Curriculum Vitae Google Scholar GitHub Email: nikita.doikov at epfl.ch Welcome! I do research in Computer Science with a focus on Numerical Optimization and Machine Learning. Now I am a postdoctoral researcher at EPFL , Switzerland, working in the Machine Learning and Optimization Laboratory with Martin Jaggi . I am excited to explore provably efficient optimization algorithms that exploit the problem structure and combine ideas from various fields. One of my areas of expertise is second-order methods and its global complexity bounds . I believe that bridging the gap between the second-order optimization theory and the best known computational practices is what can lead us to new achievements in the training process of our models. I defended my PhD in 2021 at UCLouvain , Belgium, supervised by Yurii Nesterov . My thesis is " New second-order and tensor methods in Convex Optimization ". I received a BSc degree in Computational Mathematics and Cybernetics from |
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