Shashank Gupta

Hello, thanks for visiting.

I am currently a 3rd year Ph.D. 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 worked as a data scientist with the search team at Flipkart Internet Pvt. Limited, India, where I contributed to various query understanding and product ranking projects.

Before joining Flipkart, I was an 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:

  • [July] Visiting Meta AI London as Research Scientist Intern, working with the Modern Recommender Systems (MRS) team. I am currently working on off-policy learning for two staged recommender system.
  • [July] Two papers (extended abstracts) accepted at the CONSEQUENCES workshop, collocated with RecSys’23. First work is (SIGIR) resubmission on safe unbiased LTR; second work is on examining & mitigating selection bias in preference elicitation for recsys.
  • [Jun 13] Paper on “A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback” got accepted at ICTIR’23, collocated with SIGIR’23.
  • [May 2023] Paper on user return time prediction (work done at Flipkart) was 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 Systems were accepted at the 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 integration with text classification pipeline got accepted at SIGIR workshop (KG4IR)
  • [June 2017] Paper on Trust Prediction in Social Media using Neural Networks got accepted at ASONAM’17.
  • [May 2017] Work on Hate Speech detection from social media covered in some leading publication houses 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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