Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection
- Parikshit Ram
- Alexander Gray
- et al.
- 2023
- SDM 2023
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48 results for Parikshit Ram
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
- Yunfei Teng
- Anna Choromanska
- et al.
- 2022
- ECML PKDD 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
Fruit-fly Inspired Neighborhood Encoding for Classification
- Kaushik Sinha
- Parikshit Ram
- 2021
- KDD 2021
Survey on Automated End-to-End Data Science?
- Djallel Bouneffouf
- Charu Aggarwal
- et al.
- 2020
- IJCNN 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists’ Perceptions of Automated AI
- Dakuo Wang
- Justin Weisz
- et al.
- 2019
- CSCW 2019
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
Distributed AutoML Pipeline Search in PC/RasPi K8s Cluster
- Paulito Palmes
- Akihiro Kishimoto
- et al.
- 2022
- JuliaCon 2022