Bhaskar Mitra
Principal Researcher
News & features
Research Focus: Week of September 23, 2024
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Time-series forecasting is a technique used to predict future values based on previously…
Awards | ACM SIGIR
Bhaskar Mitra receives two ACM SIGIR Early Career Researcher Awards
Bhaskar Mitra recently received the ACM SIGIR Early Career Researcher Awards for the following two categories: Excellence in Research: "For high-impact work, including research in neural IR and the establishing the MS-MARCO ranking benchmark" and Excellence in Community Engagement: "For…
Research Focus: Week of January 8, 2024
| Zinan Lin, Jinyu Li, Bhaskar Mitra, Siân Lindley, Liang Wang, Nan Yang, and Furu Wei
Mixture-of-linear-experts for long-term time series forecasting; Weakly-supervised streaming multilingual speech model with truly zero-shot capability; KBFormer: Diffusion model for structured entity completion; Identifying risks of AI-mediated data access:
Awards | CIKM 2020
Best Long Research Paper Nominee at CIKM 2020
Best Long Research Paper Nominee "Evaluating Stochastic Rankings with Expected Exposure" with Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, and Ben Carterette, CIKM 2020.
Adversarial and reinforcement learning-based approaches to information retrieval
| Bhaskar Mitra
Traditionally, machine learning based approaches to information retrieval have taken the form of supervised learning-to-rank models. Recent advances in other machine learning approaches—such as adversarial learning and reinforcement learning—should find interesting new applications in future retrieval systems. At Microsoft AI…
Awards | SIGIR 2018
Best Short Paper Award at SIGIR 2018
Best Short Paper Award for “Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning” with Daniel Cohen, Katja Hofmann, and W. Bruce Croft, SIGIR 2018.
Awards | ACM RecSys Challenge 2018
Ranked at RecSys Challlenge 2018
Finished rank #7 (out of 112 participating teams) on the main track and rank #5 (out of 31 participating teams) on the creative track at RecSys Challlenge 2018.
Awards | SIGIR 2017
Outstanding Reviewer Award, SIGIR 2017
Awards | University College London
Dean’s Prize from University College London, 2016
https://www.ucl.ac.uk/medicine/news/2016/apr/deans-research-prize-2016