Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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32 results for Parikshit Ram

Searching for Machine Learning Pipelines Using a Context-Free Grammar
- - Radu Marinescu
  - Akihiro Kishimoto
  - et al.
- 2021
- AAAI 2021
Revisiting kd-tree for nearest neighbor search
- - Parikshit Ram
  - Kaushik Sinha
- 2019
- KDD 2019
Robust Multi-objective Bilevel Optimization With Applications In Machine Learning
- - Alex Gu
  - Songtao Lu
  - et al.
- 2022
- INFORMS 2022
Data and Knowledge Driven Optimization Model Generation for Flow Based Optimization Problems
- - Dharmashankar Subramanian
  - Segev Wasserkrug
  - et al.
- 2021
- INFORMS 2021
Nonconvex Min-Max Bilevel Optimization for Task Robust Meta Learning
- - Alex Gu
  - Songtao Lu
  - et al.
- 2021
- ICML 2021
Engineering Fair Machine Learning Pipelines
- - Martin Hirzel
  - Kiran Kate
  - et al.
- 2021
- ICLR 2021
Lale: Consistent Automated Machine Learning
- - Guillaume Baudart
  - Martin Hirzel
  - et al.
- 2020
- KDD 2020
An Empirical Study of Modular Bias Mitigators and Ensembles
- - Michael Feffer
  - Martin Hirzel
  - et al.
- 2022
- ICML 2022
Addressing Solution Quality in Data-generated Optimization Models
- - Orit Davidovich
  - Parikshit Ram
  - et al.
- 2022
- AAAI 2022
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
- - Yi Zhou
  - Parikshit Ram
  - et al.
- 2021
- NeurIPS 2021