Mayank Agarwal

Senior Research Engineer, IBM Research

prof_pic.jpg

Hello there! :wave:

I am Mayank, a Senior Research Engineer at IBM Research. I hold a Masters degree in Computer Science from the University of Massachusetts Amherst in 2018, and a Bachelors in Electrical Engineering from the Visvesvaraya National Institute of Technology, Nagpur.

In my current role at IBM Research, I work on Federated Learning, Generative Modeling, AI for Code, and Individual Fairness. I have published at various Machine Learning conferences, worked on open-source software, and regularly review for ML conferences as well. Please feel free to look around at my publications and projects.

news

Oct 14, 2021 Outstanding Reviewer Award (top 8%) at NeurIPS 2021
May 27, 2021 IBM Outstanding Technical Achievement Award awarded for contributions to Enterprise-Strength Federated Learning for Hybrid Cloud and Edge.
Nov 7, 2015 A long announcement with details

selected publications

  1. ICML
    Bayesian Nonparametric Federated Learning of Neural Networks
    Yurochkin, Mikhail, Agarwal, Mayank, Ghosh, Soumya Shubhra, Greenewald, Kristjan H., Hoang, Trong Nghia, and Khazaeni, Yasaman
    In ICML 2019
    HTML
  2. NeurIPS
    NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands
    Agarwal, Mayank, Chakraborti, Tathagata, Fu, Quchen, Gros, David, Lin, Xi Victoria, Maene, Jaron, Talamadupula, Kartik, Teng, Zhongwei, and White, Jules
    ArXiv 2020
    HTML
  3. NeurIPS
    Statistical Model Aggregation via Parameter Matching
    Yurochkin, Mikhail, Agarwal, Mayank, Ghosh, Soumya Shubhra, Greenewald, Kristjan H., and Hoang, Trong Nghia
    In NeurIPS 2019
    PDF
  4. NeurIPS
    On sensitivity of meta-learning to support data
    Agarwal, Mayank, Yurochkin, Mikhail, and Sun, Yuekai
    In Thirty-Fifth Conference on Neural Information Processing Systems 2021
    HTML