Abhimanyu Das                                        

                          

Email: {first four characters of my first name followed by dot followed by my last name}@gmail.com

I am a Research Scientist at Google. My research interests span topics in machine learning, data-mining and theoretical computer science. Prior to Google, I was a Researcher at Microsoft Research and at Yahoo! Labs.

I obtained a PhD in Computer Science from the University of Southern California under the supervision of David Kempe, and a B. Tech in Computer Science from IIT Delhi. My PhD research focused on algorithms for subset selection and sparse approximation. Prior to my PhD, I also spent several years in the industry (as a software architect at Cortina Systems, and as a software engineer at Mahi Networks), where I worked on software stacks for networking and embedded systems.

I received a Distinguished Paper Award at the International Conference on Machine Learning (ICML) 2011, a Best Paper Award at the ACM Conference on Web Search and Data Mining (WSDM) 2014, and a Best Paper Honorable Mention Award at the Web Conference (WWW) 2018.

Selected Publications (full list on DBLP):
  • Abhimanyu Das, Sreenivas Gollapudi, Ravi Kumar, Rina Panigrahy: "On the Learnability of Random Deep Networks", ACM SODA 2020
  • Abhimanyu Das, Sreenivas Gollapudi, Anthony Kim, Debmalya Panigrahi, Chaitanya Swamy: "Minimizing Latency in Online Ride and Delivery Services", WWW 2018 (best paper honorable mention)
  • Flavio Chierichetti, Abhimanyu Das, Anirban Dasgupta, Ravi Kumar: “Approximate Modularity”, IEEE FOCS 2015
  • Abhimanyu Das, Anitha Kannan, “Discovering Topical Aspects in Microblogs”, COLING 2014
  • Abhimanyu Das, Sreenivas Gollapudi, Arindam Khan, Renato Paes Leme, “Identifying Conformity in Social Networks”, ACM COSN 2014 
  • James Cook, Abhimanyu Das, Krishnaram Kenthapadi, Nina Mishra, “Ranking Twitter Discussion Groups”, ACM COSN 2014 
  • Abhimanyu Das, Sreenivas Gollapudi, Kamesh Munagala, “Modeling Opinion Dynamics in Social Networks”, WSDM 2014. 
  • Amr Ahmed, Abhimanyu Das, Alexander Smola, “Hierarchical multitask learning: scalable algorithms and applications in display advertising”, WSDM 2014 (best paper award). 
  • Abhimanyu Das, Sreenivas Gollapudi, Rina Panigrahy, Mahyar Salek, “Debiasing Social Wisdom”, KDD 2013. 
  • Amr Ahmed, Abhimanyu Das, Mohammed Aly, Tasos Anastasakos, Alex Smola, “Terascale Multi-task Feature Selection for Behavioral Targeting and Advertising”, CIKM 2012. 
  • Neha Gupta, Abhimanyu Das, Sandeep Pandey, Vijay Narayanan, “Factoring Past Exposure in Display Advertising Targeting”, KDD 2012. 
  • Abhimanyu Das, Anirban Dasgupta, Ravi Kumar, “Selecting Diverse Features using Spectral Regularization”, NIPS 2012 
  • Abhimanyu Das, David Kempe: "Submodular meets Spectral – Greedy Algorithms for Subset Selection and Sparse Approximation ", ICML 2011 (distinguished paper award)
  • Abhimanyu Das, David Kempe: "Estimating the Average of a Lipschitz-Continuous Function from One Sample", ESA 2010
  • Abhimanyu Das, David Kempe: "Algorithms for Subset Selection in Linear Regression, ACM Symposium on Theory of Computing, STOC 2008