Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. 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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47 results for Parikshit Ram

Model Sparsity Can Simplify Machine Unlearning
- - Jinghan Jia
  - Jiancheng Liu
  - et al.
- 2023
- NeurIPS 2023
Single-shot General Hyper-parameter Optimization for Federated Learning
- - Yi Zhou
  - Parikshit Ram
  - et al.
- 2023
- ICLR 2023
Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
- - Alex Gu
  - Songtao Lu
  - et al.
- 2023
- ICLR 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
- - Yihua Zhang
  - Pranay Sharma
  - et al.
- 2023
- ICLR 2023
Pipeline Combinators for Gradual AutoML
- - Guillaume Baudart
  - Martin Hirzel
  - et al.
- 2021
- NeurIPS 2021
An ADMM based framework for AutoML pipeline configuration
- - Sijia Liu
  - Parikshit Ram
  - et al.
- 2020
- AAAI 2020
End-to-end Differentiable Clustering with Associative Memories
- - Bishwajit Saha
  - Dmitry Krotov
  - et al.
- 2023
- ICML 2023
xCloudServing: Automated and Optimized ML Serving across Clouds
- - Gosia Lazuka
  - Andreea Simona Anghel
  - et al.
- 2023
- CLOUD 2023
xCloudServing: Automated ML Serving Across Clouds
- - Malgorzata Lazuka
  - Andreea Anghel
  - et al.
- 2023
- CLOUD 2023
Advancing Model Pruning via Bi-level Optimization
- - Yihua Zhang
  - Yuguang Yao
  - et al.
- 2022
- NeurIPS 2022