Model Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
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48 results for Parikshit Ram
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
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2024
- NeurIPS 2024
Dense Associative Memory Through the Lens of Random Features
- Benjamin Hoover
- Duen Horng Chau
- et al.
- 2024
- NeurIPS 2024
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