Jon Kleinberg
Revision as of 00:03, 8 December 2020 by GerdIsenberg (talk | contribs)
Jon Michael Kleinberg,
an American mathematician, computer scientist and professor at Cornell University. His research focuses on the interaction of algorithms and networks,
and the roles they play in large-scale social and information systems. He defended his Ph.D. thesis on Approximation Algorithms for Disjoint Paths Problems in 1996 at Massachusetts Institute of Technology under Michel Goemans [2],
and is in particular known for the development of the HITS algorithm. Along with Reid McIlroy-Young, Russell Wang, Siddhartha Sen and Ashton Anderson, Jon Kleinberg is involved in the Maia Chess project of a human-like neural network chess engine [3].
Contents
Selected Publications
1992 ...
- Daniel Huttenlocher, Klara Kedem, Jon Kleinberg (1992). On dynamic Voronoi diagrams and the minimum Hausdorff distance for point sets under Euclidean motion in the plane. SCG 92 [6] [7] [8] [9]
- Jon Kleinberg, Éva Tardos (1995). Disjoint Paths in Densely Embedded Graphs. FOCS 1995, pdf
- Jon Kleinberg, Éva Tardos (1995). Approximations for the disjoint paths problem in high-diameter planar networks. STOC 1995
- Jon Kleinberg (1996). Approximation Algorithms for Disjoint Paths Problems. Ph.D. thesis, Massachusetts Institute of Technology, advisor Michel Goemans
- Jon Kleinberg (1997). Two algorithms for nearest-neighbor search in high dimensions. STOC 97, pdf [10]
- Jon Kleinberg, Michel Goemans (1998). The Lovász Theta Function and a Semidefinite Programming Relaxation of Vertex Cover. SIAM Journal on Discrete Mathematics, Vol. 11, No. 2, pdf [11]
- Michel Goemans, Jon Kleinberg (1998). An improved approximation ratio for the minimum latency problem. Mathematical Programming, Vol. 82, pdf
- Jon Kleinberg (1999). Hubs, Authorities, and Communities. ACM Computing Surveys, Vol. 31, No. 4
- Jon Kleinberg (1999). Authoritative sources in a hyperlinked environment. Journal of the ACM, Vol. 46, No. 5
2000 ...
- Jon Kleinberg (2000). The small-world phenomenon: an algorithmic perspective. STOC 2000, pdf [12] [13]
- Jon Kleinberg (2000). Detecting a Network Failure. FOCS 2000
- Jon Kleinberg, Yuval Rabani, Éva Tardos (2001). Fairness in Routing and Load Balancing. JCSS, Vol. 63, No. 1, pdf [14] [15]
- David Kempe, Jon Kleinberg, Éva Tardos (2001). Maximizing the spread of influence through a social network. KDD 2003, pdf
- David Liben-Nowell, Jon Kleinberg (2003). The link prediction problem for social networks. CIKM 2003, pdf
- Jure Leskovec, Deepayan Chakrabarti, Jon Kleinberg, Christos Faloutsos (2005). Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication. PKDD 2005, pdf [16]
- Jon Kleinberg, Éva Tardos (2006). Algorithm Design. Pearson, Addison-Wesley
- Jure Leskovec, Deepayan Chakrabarti, Jon Kleinberg, Christos Faloutsos, Zoubin Ghahramani (2008). Kronecker Graphs: An Approach to Modeling Networks. arXiv:0812.4905 [17]
2010 ...
- David A. Easley, Jon Kleinberg (2010). Networks, Crowds, and Markets - Reasoning About a Highly Connected World. Cambridge University Press
- Ashton Anderson, Daniel Huttenlocher, Jon Kleinberg, Jure Leskovec (2012). Effects of user similarity in social media. WSDM '12, pdf
- Ashton Anderson, Daniel Huttenlocher, Jon Kleinberg, Jure Leskovec (2012). Discovering value from community activity on focused question answering sites: a case study of stack overflow. ACM SIGKDD 2012, pdf [18]
- Ashton Anderson, Daniel Huttenlocher, Jon Kleinberg, Jure Leskovec (2013). Steering user behavior with badges. IW3C2, pdf
- Ashton Anderson, Daniel Huttenlocher, Jon Kleinberg, Jure Leskovec (2014). Engaging with Massive Online Courses. arXiv:1403.3100
- Ashton Anderson, Jon Kleinberg, Sendhil Mullainathan (2016). Assessing Human Error Against a Benchmark of Perfection. ACM SIGKDD 2016, arXiv:1606.04956
- Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon Kleinberg (2017). Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? arXiv:1711.02301
2020 ...
- Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson (2020). Aligning Superhuman AI with Human Behavior: Chess as a Model System. In Proceedings of the 26th ACM SIGKDD 2020, arXiv:2006.01855
- Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson (2020). Learning Personalized Models of Human Behavior in Chess. arXiv:2008.10086
External Links
- Jon Kleinberg's Homepage
- Jon Kleinberg from Wikipedia
- Jon Kleinberg - Google Scholar
- Jon Kleinberg - The Mathematics Genealogy Project
References
- ↑ Jon Kleinberg, ICM, Madrid 2006, Mathematical Research Institute of Oberwolfach, Photo by Gert-Martin Greuel, Wikimedia Commons
- ↑ Jon Kleinberg (1996). Approximation Algorithms for Disjoint Paths Problems. Ph.D. thesis, Massachusetts Institute of Technology, advisor Michel Goemans
- ↑ Maia Chess
- ↑ Jon Kleinberg - Google Scholar
- ↑ dblp: Jon M. Kleinberg
- ↑ Voronoi diagram from Wikipedia
- ↑ Hausdorff distance from Wikipedia
- ↑ Rigid transformation from Wikipedia
- ↑ Davenport–Schinzel sequence from Wikipedia
- ↑ Nearest neighbor search from Wikipedia
- ↑ Lovász number from Wikipedia
- ↑ Small-world network from Wikipedia
- ↑ Small-world experiment from Wikipedia
- ↑ Routing from Wikipedia
- ↑ Load balancing (computing) from Wikipedia
- ↑ Kronecker product from Wikipedia
- ↑ Kronecker graph from Wikipedia
- ↑ Stack Overflow from Wikipedia