Shashank Gupta

Hello, thanks for visiting.

I am currently a 3rd year PhD student at the IRLab, UvA, supervised by Prof. Maarten De Rijke and Prof. Harrie Oosterhuis. I am working on the problem of: Unbiased learning to rank from user interactions.

My primary areas of interest are : Machine learning, Information retrieval, Online and bandit algorithms, Counterfactual evaluation and learning.

Previously, I was working as a data scientist with the search team at Flipkart Internet Pvt. Limited, India, where I worked on various query understanding and product ranking problems.

Prior to joining Flipkart, I was a MS By Research student at the Search and Information Extraction Lab SIEL, IIIT-Hyderabad under the joint supervision of Dr. Manish Gupta Principal Applied Scientist at Microsoft R&D, India and Prof. Vasudeva Varma, Dean R&D, IIIT-Hyderabad.

To find out more about my work, please visit my CV, Publications, or Google Scholar profile.

Some updates:

  • [May 2023] Paper on user return time prediction (work done while at Flipkart) got accepted with the CRUM workshop at UMAP 2023.
  • [April 2023] SIGIR tutorial proposal on recent advancements in unbiased learning-to-rank got accepted at SIGIR’23. I will be leading the tutorial discussion at the conference.
  • [April 2023] One full paper accepted at SIGIR 2023.
  • [Feb 2023] PC member for SIGIR’23, NeurIPS’23.
  • [August 2022] Work on VAE-IPS got accepted at the CONSEQUENCES+REVEAL Workshop (as oral presentation) at RecSys’22.
  • [June’21 - June’22] Reviewed for ACL, EMNLP, ICLR, ICML, NeuRIPS’22.
  • [Sept’21 - Nov’21] TA for the Advanced Information Retrieval course.
  • [May 2021] Reviewing for NeurIPS, EMNLP, ICLR 21.
  • [April 2021] Joined IRLab, UvA as a PhD student
  • [July 2020] PC Member for EACL’2020.
  • [April 2020] Position paper accepted at ECNLP@ACL’20.
  • [April 2020] Paper accepted at SIGIR’20.
  • [April 2020] PC Member for EMNLP’20 (IE Track) & AACL-IJCNLP 2020 (IE + IR Track).
  • [Dec. 2019] PC Member for WSDM’20 Workshop on State-based User Modelling.
  • [Nov. 2019] Reviewing for ICML 2020. [Update as of March’20] - Couldn’t review papers due to bad health.
  • [July 2019] Program Committee Member for ECIR 2020.
  • [June 2019] Reviewing for a special edition “Learning from User Interaction” of Information Retrieval Journal (IRJ).
  • [March 2019] Invited talk at Alumni Research Talks event organized at BITS, Pilani. I talked about “Information Retrieval from Social Media” slides.
  • [Oct 2018] Serving as PC member for ECIR’19 and ML4H@NIPS’19.
  • [July 2018] Joined Flipkart as Data Scientist with the Search team.
  • [June 2018] Internship work @Conduent Labs on “Fake News Detection” got accepted at ASONAM’18 (Short Paper).
  • [June 2018] Journal paper from my summer internship work @TRDDC, Pune got published at BMC Bioinformatics (Impact Factor: 2.448)
  • [June 2018] Serving as PC Member for ICON 2018 and DTMBio 2018 @CIKM’18.
  • [January 2018] Joined Conduent Labs, Bangalore ((previously known as Xerox Research Center India (XRCI)) as Research Intern with Manjira Sinha and Sandya Mannarswamy.
  • [December 2017] Two papers accepted at ECIR 2018.
  • [November 2017] Two papers accepted at NIPS 2017 Machine learning for Health (ML4H) Workshop.
  • [November 2017] Invited talk on “Deep Learning for Recommender Systems” at Thiagarajar College of Engineering (TCE) &, “Machine Learning & Information Retrieval Techniques for Adverse Drug Reaction Mention Extraction from Social Media” at Duke-NUS Medical School, Singapore.
  • [September 2017] Two papers on Content Based News Recommendation System accepted at ICDM workshop on Semantic Recommendation Systems (SeRECSys)
  • [August 2017] Paper on ‘Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction’ got accepted at ACM 11th International Workshop on Data and Text Mining in Biomedical informatics at CIKM 2017
  • [July 2017] Paper on Knowledge Base intergration with text classification pipleline got accepted at SIGIR workshop (KG4IR)
  • [June 2017] Paper on Trust Prediction in Social Media using Neural Network got accepted at ASONAM’17.
  • [May 2017] Work on Hate Speech detection from social media covered in some leading publication house in India. Source
  • [April 2017] Got the Best Poster award at WWW’17 for work on Hate Speech Detection from social media.
  • [Feb 2017] Poster paper accepted in WWW’17.
  • [Feb 2017] Workshop paper accepted in WWW’17.


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