Ravi Kumar
Google
Mountain View, CA

I obtained my PhD in Computer Science from Cornell University and have previously worked at IBM Almaden and Yahoo! Research (cv).  My broad interests include Web search and data mining, social networks, algorithms for massive data, and the theory of computation.  I can be reached at ravi.k53 on Gmail; I am also on Facebook, LinkedInTwitter, though I use them sparingly.  I live and work in the beautiful SF Bay area. 

Recent papers (fuller list at DBLP, Scholar)
  • Asymptotic behavior of sequence models (w/ F. Chierichetti, A. Tomkins), WWW 2020
  • Fair correlation clustering (w/ S. Ahmadian, A. Epasto, M. Mahdian), AISTATS 2020
  • Interleaved caching with access graphs (w/ M. Purohit, Z. Svitkina, E. Vee), SODA 2020
  • On the learnability of random deep networks (w/ A. Das, S. Gollapudi, R. Panigrahy), SODA 2020
  • Efficient rematerialization for deep networks (w/ M. Purohit, Z. Svitkina, E. Vee, J. Wang), NeurIPS 2019