Addressing Solution Quality in Data-generated Optimization Models
- 2022
- AAAI 2022
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48 results for Parikshit Ram
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
- Yi Zhou
- Parikshit Ram
- et al.
- 2021
- NeurIPS 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
- Chen Fan
- Parikshit Ram
- et al.
- 2021
- NeurIPS 2021
Leveraging Theoretical Tradeoffs in Hyperparameter Selection for Improved Empirical Performance
- Horst Samulowitz
- Parikshit Ram
- et al.
- 2021
- ICML 2021
Associative Memory & Hopfield Networks in 2023
- Parikshit Ram
- Hilde Kuehne
- et al.
- 2023
- NeurIPS 2023
Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization
- Paulito Palmes
- Akihiro Kishimoto
- et al.
- 2023
- JuliaCon 2023
Runtime Prediction of Machine Learning Algorithms in AutoML Systems
- Parijat Dube
- Theodoros Salonidis
- et al.
- 2023
- ICASSP 2023
Exploring context-free languages via planning: The case for automating machine learning
- 2020
- ICAPS 2020
What makes Models Compositional? A Theoretical View
- Parikshit Ram
- Tim Klinger
- et al.
- 2024
- IJCAI 2024
Enhancing In-context Learning via Linear Probe Calibration
- Momin Abbas
- Yi Zhou
- et al.
- 2024
- AISTATS 2024