What Is Missing in IRM Training and Evaluation? Challenges and Solutions
- Yihua Zhang
- Pranay Sharma
- et al.
- 2023
- ICLR 2023
Publications
62 results for Parikshit Ram
Single-shot General Hyper-parameter Optimization for Federated Learning
- Yi Zhou
- Parikshit Ram
- et al.
- 2023
- ICLR 2023
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection
- Parikshit Ram
- Alexander Gray
- et al.
- 2023
- SDM 2023
Advancing Model Pruning via Bi-level Optimization
- Yihua Zhang
- Yuguang Yao
- et al.
- 2022
- NeurIPS 2022
Robust Multi-objective Bilevel Optimization With Applications In Machine Learning
- Alex Gu
- Songtao Lu
- et al.
- 2022
- INFORMS 2022
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
- Yunfei Teng
- Anna Choromanska
- et al.
- 2022
- ECML PKDD 2022
Gradual AutoML using Lale
- Martin Hirzel
- Kiran Kate
- et al.
- 2022
- KDD 2022
Distributed AutoML Pipeline Search in PC/RasPi K8s Cluster
- Paulito Palmes
- Akihiro Kishimoto
- et al.
- 2022
- JuliaCon 2022
On the Optimality Gap of Warm-Started Hyperparameter Optimization
- 2022
- AutoML-Conf 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
- Pu Zhao
- Parikshit Ram
- et al.
- 2022
- IJCAI 2022