Rishabh Mehrotra


If you can't explain it simply, you don't understand it well enough.
- Albert Einstein


  • [April, 2015] Joined Microsoft Bing, London as an Applied Scientist Intern to work on Counterfactual Analysis.
  • [April, 2015] Full paper on Submodular Query Selection for Learning to Rank accepted at the SIGIR 2015.
  • [March, 2015] Work on Modeling user generated content via Hawkes Process accepted at the Web Science Track at WWW 2015.
  • [Feb, 2015] Our work on Search Task Hierarchies accepted at WWW 2015.
  • [December, 2014] Gave an invited talk on User Modeling & Personalization at Lumi, London.
  • [November, 2014] Work on user modeling via tasks accepted at a workshop & DC at WSDM 2015.
  • [August, 2014] Our work on Task based User Modelling via Probabilistic Matrix Factorization has been accepted at ACM Recommender System Conference ACM RecSys 2014.
  • [August, 2014] Presented work on query selection at RuSSIR 2014 in Nizhny Novgorod, Russia & attended a short course on Learning at Scale at MADALGO Center for Massive Data Algorithms, Aarhus University, Denmark.
  • [June, 2014] Gave a reading group talk at the IRDM group at Microsoft Research Cambridge on Active Learning for Learning to Rank. [slides]

About Me

Hi!! I am Rishabh Mehrotra, a 5th year undergraduate student pursuing B.E.(Hons.) Computer Science and M.Sc.(Hons.) Mathematics at BITS Pilani 1st year PhD student at University College London (UCL). I graduated from BITS in May 2013, following which I was at Goldman Sachs for an eventful 5 months. At BITS, I was the President of Computer Science Association (CSA, BITS Pilani) apart from being associated with the Android Mobile Computing Lab [AMCG].

Contact Me

I will be more than happy to collaborate on interesting problem statements related to Machine Learning.



+44 7587 268 666

erishabh - at - gmail.com

r.mehrotra - at - cs.ucl.ac.uk


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